summary and research gap

How To Find A Research Gap, Quickly

A step-by-step guide for new researchers

By: Derek Jansen (MBA) | Reviewer: Eunice Rautenbach (DTech) | April 2023

If you’ve got a dissertation, thesis or research project coming up, one of the first (and most important) things you’ll need to do is find a suitable research gap . In this post, we’ll share a straightforward process to help you uncover high-quality, original research gaps in a very time-efficient manner.

Overview: Finding Research Gaps

• What exactly is a research gap?
• Research gap vs research topic
• How to find potential research gaps
• How to evaluate research gaps (and topics)
• Key takeaways

What is a research gap?

As a starting point, it’s useful to first define what we mean by research gap, to ensure we’re all on the same page. The term “research gap” gets thrown around quite loosely by students and academics alike, so let’s clear that up.

Simply put, a research gap is any space where there’s a lack of solid, agreed-upon research regarding a specific topic, issue or phenomenon. In other words, there’s a lack of established knowledge and, consequently, a need for further research.

Let’s look at a hypothetical example to illustrate a research gap.

Within the existing research regarding factors affect job satisfaction , there may be a wealth of established and agreed-upon empirical work within a US and UK context , but very little research within Eastern nations such as Japan or Korea . Given that these nations have distinctly different national cultures and workforce compositions compared to the West, it’s plausible that the factors that contribute toward job satisfaction may also be different. Therefore, a research gap emerges for studies that explore this matter.

This example is purely hypothetical (and there’s probably plenty of research covering this already), but it illustrates the core point that a research gap reflects a lack of firmly established knowledge regarding a specific matter . Given this lack, an opportunity exists for researchers (like you) to go on and fill the gap.

So, it’s the same as a research topic?

Not quite – but they are connected. A research gap refers to an area where there’s a lack of settled research , whereas a research topic outlines the focus of a specific study . Despite being different things, these two are related because research gaps are the birthplace of research topics. In other words, by identifying a clear research gap, you have a foundation from which you can build a research topic for your specific study. Your study is unlikely to resolve the entire research gap on it’s own, but it will contribute towards it .

If you’d like to learn more, we’ve got a comprehensive post that covers research gaps (including the different types of research gaps), as well as an explainer video below.

How to find a research gap

Now that we’ve defined what a research gap is, it’s time to get down to the process of finding potential research gaps that you can use as a basis for potential research topics. Importantly, it’s worth noting that this is just one way (of many) to find a research gap (and consequently a topic). We’re not proposing that it’s the only way or best way, but it’s certainly a relatively quick way to identify opportunities.

Step 1: Identify your broad area of interest

The very first step to finding a research gap is to decide on your general area of interest . For example, if you were undertaking a dissertation as part of an MBA degree, you may decide that you’re interested in corporate reputation, HR strategy, or leadership styles. As you can see, these are broad categories – there’s no need to get super specific just yet. Of course, if there is something very specific that you’re interested in, that’s great – but don’t feel pressured to narrow it down too much right now.

Equally important is to make sure that this area of interest is allowed by your university or whichever institution you’ll be proposing your research to. This might sound dead obvious, but you’ll be surprised how many times we’ve seen students run down a path with great excitement, only to later learn that their university wants a very specific area of focus in terms of topic (and their area of interest doesn’t qualify).

Step 2: Do an initial literature scan

Once you’ve pinned down your broad area (or areas) of interest, the next step is to head over to Google Scholar to undertake an initial literature scan . If you’re not familiar with this tool, Google Scholar is a great starting point for finding academic literature on pretty much any topic, as it uses Google’s powerful search capabilities to hunt down relevant academic literature. It’s certainly not the be-all and end-all of literature search tools, but it’s a useful starting point .

Within Google Scholar, you’ll want to do a few searches using keywords that are relevant to your area of interest. Sticking with our earlier example, we could use the key phrase “job satisfaction”, or we may want to get a little more specific – perhaps “job satisfaction for millennials” or “job satisfaction in Japan”.

It’s always a good idea to play around with as many keywords/phrases as you can think up.  Take an iterative approach here and see which keywords yield the most relevant results for you. Keep each search open in a new tab, as this will help keep things organised for the next steps.

Once you’ve searched for a few different keywords/phrases, you’ll need to do some refining for each of the searches you undertook. Specifically, you’ll need to filter the results down to the most recent papers . You can do this by selecting the time period in the top left corner (see the example below).

Filtering to the current year is typically a good choice (especially for fast-moving research areas), but in some cases, you may need to filter to the last two years . If you’re undertaking this task in January or February, for example, you’ll likely need to select a two-year period.

Need a helping hand?

Step 3: Review and shortlist articles that interest you

Once you’ve run a few searches using different keywords and phrases, you’ll need to scan through the results to see what looks most relevant and interesting to you. At this stage, you can just look at the titles and abstracts (the description provided by Google Scholar) – don’t worry about reading the actual article just yet.

Next, select 5 – 10 articles that interest you and open them up. Here, we’re making the assumption that your university has provided you with access to a decent range of academic databases. In some cases, Google Scholar will link you directly to a PDF of the article, but in most cases, you’ll need paid access. If you don’t have this (for example, if you’re still applying to a university), you can look at two options:

Open-access articles – these are free articles which you can access without any journal subscription. A quick Google search (the regular Google) will help you find open-access journals in your area of interest, but you can also have a look at DOAJ and Elsevier Open Access.

DeepDyve – this is a monthly subscription service that allows you to get access to a broad range of journals. At the time of shooting this video, their monthly subscription is around $50 and they do offer a free trial, which may be sufficient for your project.

Step 4: Skim-read your article shortlist

Now, it’s time to dig into your article shortlist and do some reading. But don’t worry, you don’t need to read the articles from start to finish – you just need to focus on a few key sections.

Specifically, you’ll need to pay attention to the following:

• The abstract (which you’ve probably already read a portion of in Google Scholar)
• The introduction – this will give you a bit more detail about the context and background of the study, as well as what the researchers were trying to achieve (their research aims)
• The discussion or conclusion – this will tell you what the researchers found

By skimming through these three sections for each journal article on your shortlist, you’ll gain a reasonable idea of what each study was about, without having to dig into the painful details. Generally, these sections are usually quite short, so it shouldn’t take you too long.

Step 5: Go “FRIN hunting”

This is where the magic happens. Within each of the articles on your shortlist, you’ll want to search for a few very specific phrases , namely:

• Future research
• Further research
• Research opportunities
• Research directions

All of these terms are commonly found in what we call the “FRIN” section . FRIN stands for “further research is needed”. The FRIN is where the researchers explain what other researchers could do to build on their study, or just on the research area in general. In other words, the FRIN section is where you can find fresh opportunities for novel research . Most empirical studies will either have a dedicated FRIN section or paragraph, or they’ll allude to the FRIN toward the very end of the article. You’ll need to do a little scanning, but it’s usually pretty easy to spot.

It’s worth mentioning that naturally, the FRIN doesn’t hand you a list of research gaps on a platter. It’s not a silver bullet for finding research gaps – but it’s the closest thing to it. Realistically, the FRIN section helps you shortcut the gap-hunting process  by highlighting novel research avenues that are worth exploring.

This probably sounds a little conceptual, so let’s have a look at a few examples:

The impact of overeducation on job outcomes: Evidence from Saudi Arabia (Alzubaidi, 2020)

If you scroll down to the bottom of this article, you’ll see there’s a dedicated section called “Limitations and directions for future research”. Here they talk about the limitations of the study and provide suggestions about how future researchers could improve upon their work and overcome the limitations.

Perceived organizational support and job satisfaction: a moderated mediation model of proactive personality and psychological empowerment (Maan et al, 2020)

In this article, within the limitations section, they provide a wonderfully systematic structure where they discuss each limitation, followed by a proposal as to how future studies can overcome the respective limitation. In doing so, they are providing very specific research opportunities for other researchers.

Medical professionals’ job satisfaction and telemedicine readiness during the COVID-19 pandemic: solutions to improve medical practice in Egypt (El-Mazahy et al, 2023)

In this article, they don’t have a dedicated section discussing the FRIN, but we can deduct it based on the limitations section. For example, they state that an evaluation of the knowledge about telemedicine and technology-related skills would have enabled studying their independent effect on the perception of telemedicine.

Follow this FRIN-seeking process for the articles you shortlisted and map out any potentially interesting research gaps . You may find that you need to look at a larger number of articles to find something interesting, or you might find that your area of interest shifts as you engage in the reading – this is perfectly natural. Take as much time as you need to develop a shortlist of potential research gaps that interest you.

Importantly, once you’ve developed a shortlist of potential research gaps, you need to return to Google Scholar to double-check that there aren’t fresh studies that have already addressed the gap. Remember, if you’re looking at papers from two years ago in a fast-moving field, someone else may have jumped on it . Nevertheless, there could still very well be a unique angle you could take – perhaps a contextual gap (e.g. a specific country, industry, etc.).

Ultimately, the need for originality will depend on your specific university’s requirements and the level of study. For example, if you’re doing an undergraduate research project, the originality requirements likely won’t be as gruelling as say a Masters or PhD project. So, make sure you have a clear understanding of what your university’s expectations are. A good way to do this is to look at past dissertations and theses for your specific programme. You can usually find these in the university library or by asking the faculty.

How to evaluate potential research gaps

Once you’ve developed a shortlist of potential research gaps (and resultant potential research topics) that interest you, you’ll need to systematically evaluate  them  to choose a winner. There are many factors to consider here, but some important ones include the following:

• Originality and value – is the topic sufficiently novel and will addressing it create value?
• Data access – will you be able to get access to the sample of interest?
• Costs – will there be additional costs involved for data collection and/or analysis?
• Timeframes – will you be able to collect and analyse the data within the timeframe required by your university?
• Supervisor support – is there a suitable supervisor available to support your project from start to finish?

To help you evaluate your options systematically, we’ve got a topic evaluation worksheet that allows you to score each potential topic against a comprehensive set of criteria. You can access the worksheet completely free of charge here .

Recap: Key Takeaways

We’ve covered quite a lot of ground in this post. Here are the key takeaways:

• A research gap is any space where there’s a lack of solid, agreed-upon research regarding a specific topic/issue/phenomenon.
• Unique research topics emerge from research gaps , so it’s essential to first identify high-quality research gaps before you attempt to define a topic.
• To find potential research gaps, start by seeking out recent journal articles on Google Scholar and pay particular attention to the FRIN section to identify novel opportunities.
• Once you have a shortlist of prospective research gaps and resultant topic ideas, evaluate them systematically using a comprehensive set of criteria.

If you’d like to get hands-on help finding a research gap and research topic, be sure to check out our private coaching service , where we hold your hand through the research journey, step by step.

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

Very useful for me, but i am still confusing review of literature review, how to find out topic related previous research.

Powerful notes! Thanks a lot.

This is helpful. Thanks a lot.

Thank you very much for this. It is really a great opportunity for me to learn the research journey.

Very Useful

It nice job

You have sharpened my articulations of these components to the core. Thanks so much.

It’s educative and an inspiring way of impacting research knowledge…

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What is a research gap.

A research gap is a question or a problem that has not been answered by any of the existing studies or research within your field. Sometimes, a research gap exists when there is a concept or new idea that hasn't been studied at all. Sometimes you'll find a research gap if all the existing research is outdated and in need of new/updated research (studies on Internet use in 2001, for example). Or, perhaps a specific population has not been well studied (perhaps there are plenty of studies on teenagers and video games, but not enough studies on toddlers and video games, for example). These are just a few examples, but any research gap you find is an area where more studies and more research need to be conducted. Please view this video clip from our Sage Research Methods database for more helpful information: How Do You Identify Gaps in Literature?

How do I find one?

It will take a lot of research and reading.  You'll need to be very familiar with all the studies that have already been done, and what those studies contributed to the overall body of knowledge about that topic. Make a list of any questions you have about your topic and then do some research to see if those questions have already been answered satisfactorily. If they haven't, perhaps you've discovered a gap!  Here are some strategies you can use to make the most of your time:

• One useful trick is to look at the “suggestions for future research” or conclusion section of existing studies on your topic. Many times, the authors will identify areas where they think a research gap exists, and what studies they think need to be done in the future.
• As you are researching, you will most likely come across citations for seminal works in your research field. These are the research studies that you see mentioned again and again in the literature.  In addition to finding those and reading them, you can use a database like Web of Science to follow the research trail and discover all the other articles that have cited these. See the FAQ: I found the perfect article for my paper. How do I find other articles and books that have cited it? on how to do this. One way to quickly track down these seminal works is to use a database like SAGE Navigator, a social sciences literature review tool. It is one of the products available via our SAGE Knowledge database.
• In the PsycINFO and PsycARTICLES databases, you can select literature review, systematic review, and meta analysis under the Methodology section in the advanced search to quickly locate these. See the FAQ: Where can I find a qualitative or quantitative study? for more information on how to find the Methodology section in these two databases.
• In CINAHL , you can select Systematic review under the Publication Type field in the advanced search. 
• In Web of Science , check the box beside Review under the Document Type heading in the “Refine Results” sidebar to the right of the list of search hits.
• If the database you are searching does not offer a way to filter your results by document type, publication type, or methodology in the advanced search, you can include these phrases (“literature reviews,” meta-analyses, or “systematic reviews”) in your search string.  For example, “video games” AND “literature reviews” could be a possible search that you could try.

Please give these suggestions a try and contact a librarian for additional assistance.

Content authored by: GS

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What Is A Research Gap? (With Tips + Examples)

A research gap is a specific area within a field of study that remains unexplored or under-explored. Identifying a research gap involves recognizing where existing research is lacking or where there are unanswered questions that could provide opportunities for further investigation. Understanding research gaps is crucial for advancing knowledge, as it helps scholars and researchers focus their efforts on areas that can contribute significantly to their field.

What Is A Research Gap?

It is actually a question or any issue that needs to be solved by any pre-existing work or research in your area of study. A research gap can also exist where some new idea still needs to be studied.

Tips on Identifying Research Gap

Research always plays an essential role in acquiring more knowledge and addressing the gaps in different fields. When you are identifying a research gap, you are taking a very important step in the whole research process. This aids the researchers in contributing meaningful insights and triggers the knowledge boundaries.

Understanding the Literature You Are Studying: In order to identify any research gap, it is essential to have an excellent advertising of the preexisting literature in your study field.

Here, you need to conduct a review of many books, scholarly articles, conferences, and other relevant sources. In this way, you can get a good foundation as well as insights into any present state of in-depth knowledge in your own study area.

Defining Your Own Research Question: After getting a good knowledge of the pre-existing literature, you need to define a concise and clear idea of the research question. This research question needs to be very specific, attainable, measurable, time-bound and relevant. An acronym for this entire thing is known as SMART. This also needs to address any significant issue that still needs to be fully solved or adequately answered.

Identifying Your Study Objectives: Here, you need to identify the major objectives of your research paper. All these objectives need to be aligned with the identified research gap. These objectives always guide the researcher and aid you in determining the direction and scope of your research study.

Analyze the Existing Studies: Here, you need to analyze very carefully all the existing studies that are related to your research question. Here, it would help if you looked at the most common recurring findings, themes, and patterns of the discussed literature. Here, you also need to pay a lot of attention to the conflicted areas with the results, unanswered questions, and contradictory theories. These areas show the research gaps that can be explored later.

Consider The Practical Relevance: You always need to evaluate the very practical relevance of the research question as well as its potential impact on society. Here, it would help if you always considered the importance of addressing your own research gap as you identified it.

Here, you also need to assess whether your findings can contribute to the original theoretical framework and offer all the practical solutions for leading to the policy recommendations. These practical ads are relevant to the research paper and trigger its impact.

Consulting With the Experts and Peers: You always need to engage you’re discussing with your mentors, peers, and experts in your own field of study. Here, you always need to seek their opinions and perspectives on the research question to identify potential research gaps.

These can provide valuable insights into assumption challenges, and this helps you refine your research work. Your peers and experts can give you a new idea and help you identify the errors in your thinking.

Conducting Your Pilot Study: You need to conduct it to test the viability and feasibility of the research question. This pilot study provides you with feedback and data on the research design, approach and methodology.

This also helps you identify the potential limitations or challenges that need to be solved before conducting the full research studies.

Reflecting and Refining: You need to vividly reflect on the research progress to refine your research preferences. You need to add the objectives. As you go deeper into your research process, additional research gaps may be uncovered to refine your own research needs.

If you follow this process, you can adapt your own approach to ensure the research gaps.

As per the example of the research gap, identifying your research gap allows your research to contribute to gaining more knowledge to address the pre-existing limitations.

This way, you will understand the existing literature to define a crystal clear research statement. You can identify the research gaps by analyzing the existing studies to consider their relevance. According to the research gap finder, if you consult with your peers, doing all the pilot studies reflects on your research process progress.

If you follow the guide mentioned above, you can always embark on meaningful research studies to trigger your knowledge in your subject area and make a prominent contribution to your field.

Also Read: Struggling with Research Paper Writing?

Different Types of Research Gaps

Identifying research gaps is essential for advancing knowledge in any field. Research gaps are areas where more information is available or existing research needs to be more consistent or conclusive. Here are different types of research gaps:

• Evidence Gap

This gap occurs when no empirical evidence supports certain theories, practices, or interventions. It can also refer to areas where existing studies need to sufficiently cover the topic or lack rigorous methodological approaches.

Example: A need for randomized controlled trials on the effectiveness of a new drug.

• Knowledge Gap

This gap refers to areas where there is a deficiency in understanding or awareness about a particular topic. It can be due to outdated information, incomplete research, or the absence of research on emerging issues.

Example: Limited knowledge about the long-term effects of exposure to new environmental pollutants.

• Theoretical Gap

Theoretical gaps arise when existing theories do not fully explain certain phenomena or when there is a lack of theoretical frameworks to guide research in a particular area.

Example: More theoretical models need to be developed to explain the psychological impacts of social media usage on teenagers.

• Methodological Gap

Methodological gaps exist when current research methods are inadequate for addressing certain research questions or when there is a need for new or improved methodologies.

Example: More robust qualitative methods are needed to study the experiences of marginalized communities.

• Population Gap

This type of gap occurs when certain populations are underrepresented in research. It can involve demographics like age, gender, ethnicity, socioeconomic status, or geographic location.

Example: Lack of research on the mental health of older adults living in rural areas.

Geographical Gap

Geographical gaps refer to areas or regions that are under-researched. These gaps highlight the need for studies in different geographic contexts to understand local issues better.

Example: Limited studies on the effects of climate change in the Arctic regions.

Strategies to Identify Research Gaps:

• Literature Reviews: Comprehensive reviews can help identify where current research is lacking or inconsistent.
• Systematic Reviews and Meta-Analyses: These methods provide a structured approach to synthesize existing research and identify gaps.
• Expert Consultations: Discussions with experts in the field can uncover areas that require further investigation.
• Research Databases: Utilizing databases and citation analysis tools to track research trends and identify under-researched areas.
• Interdisciplinary Approaches: Engaging with multiple disciplines can reveal gaps that are not apparent within a single field.

Understanding and addressing these gaps is crucial for advancing research and knowledge across various domains.

Read More: How To Get A+ Grade In Research Paper?

What is a Research Gap Example?

A Research Paper Example gives you a very clear idea of how to find your research gaps and examples in textual forms. A few examples are given below:

• Context Healthcare: Although there have been enough researchers on the management of diabetes, there has been a research gap in understanding the impact of digital health interventions in the rural areas of Europe.
• Content environmental science: In a wealth of research regarding the huge environmental pollution caused by the use of plastics, there are fewer findings of how the plastic material really accumulates in certain areas like lakes, rivers, etc. and why these materials are never biodegradable.
• Context Education: The empirical research surrounding the online mode has become tremendously popular over the past few years. However, there needs to be more solid studies regarding the impact of the online learning process on the students who need special education. In each of these examples, you can see that the writer begins by acknowledging the preexisting reach results and then explains thoroughly the present area where the research gap really exists.

Also Read: Why Research Is Essential For Students? 20 Common Reasons!

How to Find a Research Gap?

After getting a very clear idea of various types of research gaps, the vet’s next question comes to mind is how to find a research gap. There is a basic 2 step strategy to find the research gap.

In the beginning, you need to find a lot of literature reviews, meta-analyses, and systematic reviews covering your research area of interest. Moreover, it would help if you dug into the very recent journals for wrapping your head in your own knowledge area.

Here, you can also study the current theses and dissertations, especially those in the doctoral degree courses. A number of dissertation databases, such as Open Access, EBSCO, Pro-Quest, etc., are very useful in this regard. Here. You also need to ensure that you are always looking for the most recent sources.

After gathering a good collection of these resources, you need to focus on further research opportunities. In this section, you need to state explicitly where more studies are needed. It would help if you also looked at the present research study’s limitation areas and where the research gaps might exist.

Following this procedure will help you become oriented to the present research area. This can serve as a foundation for finding the potential research gaps. Then, you need to shortlist the main ideas and evaluate them as per the given topic. It would help if you also looked only for the recent articles here.

Also Read:  Expert Literature Review Writing Services

How to Deal with Literature Gap?

In any project, a literature review is always very important. It helps you in identifying your excusing knowledge, methods and theories in your own field. However, conducting a literature review has its own challenges.

• Defiling your research question: The very first step is to define your own research question very clearly and briefly. It will help you narrow your scope and focus on the crucial sources. It would help if you used less information here. Your research must always be very specific, answerable, and original. The research project always needs to have real objectives and a purpose.
• Searching and selecting the sources: Your next step is to search and select the sources. That is very much reliable and relevant to your research field. There are a number of databases, like keywords, search engines, etc., related to your study field. However, there are also a lot of limitations to these tools, like currency, coverage, and quality of the sources. Here, certain criteria have to be applied to filter the sources, such as relevance, authority, timeline, and accuracy of the information.
• Analyzing and synthesizing the literature: This is the third step, where you need to analyze and synthesize the literature you selected. Here, you need to summarize the sources and compare, contrast and critique them. In this section, you also need to look for the similarities and differences, the strengths and weaknesses, and the gaps and inconsistencies of the literature review paper. The writers can also identify the major trends, themes, and debates in the discussed field. These should also be related to your research question.
• Fill in the gaps after identifying them: This is the 4th step to filling the literature review research paper. This gap needs to be addressed or is under the researched area and is to be addressed by you with the help of your knowledge. These gaps can be filled by looking for the limitations, contradictions or controversies in the review. You can also do this by asking new questions or proposing new ideas. The gaps can also be filled by providing the newest evidence, arguments or even insights related to your field of study.
• Organizing and structuring the literature review: This is the 5th step of your review, where you need to organize and structure the whole paper in a compact and logical manner. Here, you always need to follow certain guidelines as given by your institute and use the best style and font. Proper headings, subheading citations, and traditions should also be used here. This will help your readers follow your arguments and understand what you want to say. A very clear introduction should also be written, along with a good conclusion and summary to highlight your writing.
• Refining and Revising: The literature review is the final step of writing your literature review. Here, you need to ensure that your review is quite accurate, concise and clear. You must check your literature review thoroughly to make it free from errors, gaps, or inconsistencies in language, content, or presentation. Here, you can also seek feedback from your peers, experts or supervisors in your own field. Their suggestions will help you in performing well. The whore literature review should be thoroughly proofread and edited before the final submission.

Last but not least, never copy from any source; it will be considered plagiarism, and your paper will be cancelled then and there. Thus, write only from your own creativity and not from the writing and articles of other writers.

Read More: Dissertation Literature Review For Masters & PhD

Final Words

Writing a research paper is a challenging task. It would help if you had a lot of Research Skills to accomplish it. You will be given a Research topic on which you have to write. Your ultimate aim in writing the research paper is to get the top grade. This can be done by availing of the best online Case Study Help Service from a reliable provider. The Casestudyhelp is the best choice for you in this respect.

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Identifying Research Gaps to Pursue Innovative Research

This article is an excerpt from a lecture given by my Ph.D. guide, a researcher in public health. She advised us on how to identify research gaps to pursue innovative research in our fields.

What is a Research Gap?

Today we are talking about the research gap: what is it, how to identify it, and how to make use of it so that you can pursue innovative research. Now, how many of you have ever felt you had discovered a new and exciting research question , only to find that it had already been written about? I have experienced this more times than I can count. Graduate studies come with pressure to add new knowledge to the field. We can contribute to the progress and knowledge of humanity. To do this, we need to first learn to identify research gaps in the existing literature.

A research gap is, simply, a topic or area for which missing or insufficient information limits the ability to reach a conclusion for a question. It should not be confused with a research question, however. For example, if we ask the research question of what the healthiest diet for humans is, we would find many studies and possible answers to this question. On the other hand, if we were to ask the research question of what are the effects of antidepressants on pregnant women, we would not find much-existing data. This is a research gap. When we identify a research gap, we identify a direction for potentially new and exciting research.

How to Identify Research Gap?

Considering the volume of existing research, identifying research gaps can seem overwhelming or even impossible. I don’t have time to read every paper published on public health. Similarly, you guys don’t have time to read every paper. So how can you identify a research gap?

There are different techniques in various disciplines, but we can reduce most of them down to a few steps, which are:

• Identify your key motivating issue/question
• Identify key terms associated with this issue
• Review the literature, searching for these key terms and identifying relevant publications
• Review the literature cited by the key publications which you located in the above step
• Identify issues not addressed by  the literature relating to your critical  motivating issue

It is the last step which we all find the most challenging. It can be difficult to figure out what an article is  not  saying. I like to keep a list of notes of biased or inconsistent information. You could also track what authors write as “directions for future research,” which often can point us towards the existing gaps.

Different Types of Research Gaps

Identifying research gaps is an essential step in conducting research, as it helps researchers to refine their research questions and to focus their research efforts on areas where there is a need for more knowledge or understanding.

1. Knowledge gaps

These are gaps in knowledge or understanding of a subject, where more research is needed to fill the gaps. For example, there may be a lack of understanding of the mechanisms behind a particular disease or how a specific technology works.

2. Conceptual gaps

These are gaps in the conceptual framework or theoretical understanding of a subject. For example, there may be a need for more research to understand the relationship between two concepts or to refine a theoretical framework.

3. Methodological gaps

These are gaps in the methods used to study a particular subject. For example, there may be a need for more research to develop new research methods or to refine existing methods to address specific research questions.

4. Data gaps

These are gaps in the data available on a particular subject. For example, there may be a need for more research to collect data on a specific population or to develop new measures to collect data on a particular construct.

5. Practical gaps

These are gaps in the application of research findings to practical situations. For example, there may be a need for more research to understand how to implement evidence-based practices in real-world settings or to identify barriers to implementing such practices.

Examples of Research Gap

Limited understanding of the underlying mechanisms of a disease:.

Despite significant research on a particular disease, there may be a lack of understanding of the underlying mechanisms of the disease. For example, although much research has been done on Alzheimer’s disease, the exact mechanisms that lead to the disease are not yet fully understood.

Inconsistencies in the findings of previous research:

When previous research on a particular topic has inconsistent findings, there may be a need for further research to clarify or resolve these inconsistencies. For example, previous research on the effectiveness of a particular treatment for a medical condition may have produced inconsistent findings, indicating a need for further research to determine the true effectiveness of the treatment.

Limited research on emerging technologies:

As new technologies emerge, there may be limited research on their applications, benefits, and potential drawbacks. For example, with the increasing use of artificial intelligence in various industries, there is a need for further research on the ethical, legal, and social implications of AI.

How to Deal with Literature Gap?

Once you have identified the literature gaps, it is critical to prioritize. You may find many questions which remain to be answered in the literature. Often one question must be answered before the next can be addressed. In prioritizing the gaps, you have identified, you should consider your funding agency or stakeholders, the needs of the field, and the relevance of your questions to what is currently being studied. Also, consider your own resources and ability to conduct the research you’re considering. Once you have done this, you can narrow your search down to an appropriate question.

Tools to Help Your Search

There are thousands of new articles published every day, and staying up to date on the literature can be overwhelming. You should take advantage of the technology that is available. Some services include  PubCrawler ,  Feedly ,  Google Scholar , and PubMed updates. Stay up to date on social media forums where scholars share new discoveries, such as Twitter. Reference managers such as  Mendeley  can help you keep your references well-organized. I personally have had success using Google Scholar and PubMed to stay current on new developments and track which gaps remain in my personal areas of interest.

The most important thing I want to impress upon you today is that you will struggle to  choose a research topic  that is innovative and exciting if you don’t know the existing literature well. This is why identifying research gaps starts with an extensive and thorough  literature review . But give yourself some boundaries.  You don’t need to read every paper that has ever been written on a topic. You may find yourself thinking you’re on the right track and then suddenly coming across a paper that you had intended to write! It happens to everyone- it happens to me quite often. Don’t give up- keep reading and you’ll find what you’re looking for.

Class dismissed!

How do you identify research gaps? Share your thoughts in the comments section below.

Frequently Asked Questions

A research gap can be identified by looking for a topic or area with missing or insufficient information that limits the ability to reach a conclusion for a question.

Identifying a research gap is important as it provides a direction for potentially new research or helps bridge the gap in existing literature.

Gap in research is a topic or area with missing or insufficient information. A research gap limits the ability to reach a conclusion for a question.

Thank u for your suggestion.

Very useful tips specially for a beginner

Thank you. This is helpful. I find that I’m overwhelmed with literatures. As I read on a particular topic, and in a particular direction I find that other conflicting issues, topic a and ideas keep popping up, making me more confused.

I am very grateful for your advice. It’s just on point.

The clearest, exhaustive, and brief explanation I have ever read.

Thanks for sharing

Thank you very much.The work is brief and understandable

Thank you it is very informative

Thanks for sharing this educative article

Thank you for such informative explanation.

Great job smart guy! Really outdid yourself!

Nice one! I thank you for this as it is just what I was looking for!😃🤟

Thank you so much for this. Much appreciated

Thank you so much.

Thankyou for ur briefing…its so helpful

Thank you so much .I’ved learn a lot from this.❤️

Very exciting and useful piece for researchers.

Your are awesome, it’s a great article.

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Identifying Research Gaps and Prioritizing Psychological Health Evidence Synthesis Needs

Susanne hempel.

* RAND Corporation, Evidence-based Practice Center (EPC), Santa Monica

† University of Southern California, Keck School of Medicine, Los Angeles, CA

Kristie Gore

‡ RAND, National Security Research Division, Arlington

Bradley Belsher

§ Defense Health Agency, Psychological Health Center of Excellence (PHCoE), Falls Church, VA

Associated Data

Supplemental Digital Content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's website, www.lww-medicalcare.com .

Supplemental Digital Content is available in the text.

Background:

Evidence synthesis is key in promoting evidence-based health care, but it is resource-intense. Methods are needed to identify and prioritize evidence synthesis needs within health care systems. We describe a collaboration between an agency charged with facilitating the implementation of evidence-based research and practices across the Military Health System and a research center specializing in evidence synthesis.

Scoping searches targeted 15 sources, including the Veterans Affairs/Department of Defense Guidelines and National Defense Authorization Acts. We screened for evidence gaps in psychological health management approaches relevant to the target population. We translated gaps into potential topics for evidence maps and/or systematic reviews. Gaps amenable to evidence synthesis format provided the basis for stakeholder input. Stakeholders rated topics for their potential to inform psychological health care in the military health system. Feasibility scans determined whether topics were ready to be pursued, that is, sufficient literature exists, and duplicative efforts are avoided.

We identified 58 intervention, 9 diagnostics, 12 outcome, 19 population, and 24 health services evidence synthesis gaps. Areas included: posttraumatic stress disorder (PTSD) (19), suicide prevention (14), depression (9), bipolar disorder (9), substance use (24), traumatic brain injury (20), anxiety (1), and cross-cutting (14) synthesis topics. Stakeholder input helped prioritize 19 potential PTSD topics and 22 other psychological health topics. To date, 46 topics have undergone feasibility scans. We document lessons learned across clinical topics and research methods.

Conclusion:

We describe a transparent and structured approach to evidence synthesis topic selection for a health care system using scoping searches, translation into evidence synthesis format, stakeholder input, and feasibility scans.

Evidence synthesis is an essential step in promoting evidence-based medicine across health systems; it facilitates the translation of research to practice. A systematic review of the research literature on focused review questions is a key evidence synthesis approach that can inform practice and policy decisions. 1 However, systematic reviews are resource-intense undertakings. In a resource-constrained environment, before an evidence review is commissioned, the need and the feasibility of the review must be established.

Establishing the need for the review can be achieved through a research gap analysis or needs assessment. Identification of a gap serves as the first step in developing a new research question. 2 Research gaps in health care do not necessarily align directly with research needs. Research gaps are only critical where knowledge gaps substantially inhibit the decision-making ability of stakeholders such as patients, health care providers, and policymakers, thus creating a need to fill the knowledge gap. Evidence synthesis enables the assessment of whether a research gap continues to exist or whether there is adequate evidence to close the knowledge gap.

Furthermore, a gap analysis often identifies multiple, competing gaps that are worthwhile to be pursued. Given the resource requirements of formal evidence reviews, topic prioritization is needed to best allocate resources to those areas deemed the most relevant for the health system. Regardless of the topic, the prioritization process is likely to be stakeholder-dependent. Priorities for evidence synthesis will vary depending on the mission of the health care system and the local needs of the health care stakeholders. A process of stakeholder input is an important mechanism to ensure that the evidence review will meet local needs as well to identify a receptive audience of the review findings.

In addition to establishing the need for an evidence review, the feasibility of conducting the review must also be established. In conducting primary research, feasibility is often mainly a question of available resources. For evidence reviews, the resources, the availability of primary research, and the presence of existing evidence reviews on the topic need to be explored. Not all topics are amenable for a systematic review which focus on a specific range of research questions and rely heavily on published literature. Furthermore, evidence review synthesizes the existing evidence; hence, if there is insufficient evidence in the primary research literature, an evidence review is not useful. Establishing a lack of evidence is a worthwhile exercise since it identifies the need for further research. However, most health care delivery organizations will be keen to prioritize areas that can be synthesized, that is, investing in synthesizing a body of research sizable enough to derive meaningful results. For evidence reviews, the presence of existing evidence syntheses is also an important consideration, in particular, to determine the incremental validity of a new review. Although primary research benefits profoundly by replication, secondary literature, in particular in the context of existing high-quality reviews and/or limited evidence, may not add anything to our knowledge base. 3

This work describes a structured and transparent approach to identify and prioritize areas of psychological health that are important and that can be feasibly addressed by a synthesis of the research literature. It describes a collaboration between an agency charged with facilitating the implementation of evidence-based research and practices across the Military Health System (MHS) and a research center specializing in evidence synthesis.

This project is anchored in the relationship between the Defense Health Agency Psychological Health Center of Excellence (PHCoE) and the RAND Corporation’s National Defense Research Institute (NDRI), one of the Federally Funded Research and Development Centers (FFRDC) dedicated to providing long-term analytic support to the Defense Health Agency. PHCoE, an agency charged with facilitating the implementation of evidence-based research and practices across the Military Health System funded a series of systematic reviews and evidence maps synthesizing psychological research. The project draws on the expertise of the Southern California Evidence-based Practice Center (EPC) located at RAND, a center specializing in evidence synthesis. The project included scoping searches, stakeholder input, and feasibility scans. The project is ongoing; this manuscript describes methods and results from June 2016 to September 2018. The project was assessed by our Human Subject Protection staff and determined to be exempt (date July 7, 2016, ID ND3621; August 6, 2017, ID ND3714).

The following describes the process, Figure ​ Figure1 1 provides a visual overview.

Process of identifying research gaps and prioritizing psychological health evidence synthesis needs.

Scoping Searches to Identify Evidence Synthesis Gaps

Scoping searches targeted pertinent sources for evidence gaps. The searches focused on clinical conditions and interventions relevant to psychological health, including biological psychiatry, health care services research, and mental health comorbidity. Proposed topics and study populations were not limited by deployment status or deployment eligibility, but the topic section considered the prevalence of clinical conditions among Department of Defense active duty military personnel managed by the MHS. The scoping searches excluded evidence gaps addressing children and adolescents and clinical conditions exclusively relevant to veterans managed by the Department of Veterans Affairs.

Scoping Search Sources

We screened 15 sources in total for evidence synthesis gaps.

Veterans Affairs/Department of Defense clinical practice guidelines were a key source for documented evidence gaps. 4 – 9 Recently updated guidelines were screened only for evidence gaps that indicated a lack of synthesis of existing research or content areas that were outside the scope of that guideline (guidelines rely primarily on published systematic reviews and can only review a limited number of topic areas).

We consulted the current report of the committee on armed services of the House of Representatives regarding the proposed National Defense Authorization Act (NDAA) and the report for the upcoming fiscal year. 10 , 11 We specifically screened the report for research priorities identified for psychological health. We also screened the published National Research Action Plan designed to improve access to mental health services for veterans, service members, and military families. 12

We conducted a literature search for publications dedicated to identifying evidence gaps and research needs for psychological health and traumatic brain injury. We searched for publications published since 2000–2016 in the most relevant databases, PubMed and PsycINFO, that had the words research gap, knowledge gap, or research priority in the title and addressed psychological health (Supplemental Digital Content, http://links.lww.com/MLR/B836 ). The search retrieved 203 citations. Six publications were considered potentially relevant and obtained as full text, 1 source was subsequently excluded because the authors conducted a literature search <3 years ago and it was deemed unlikely that a new review would identify substantially more eligible studies. 13 – 19

We also used an analysis of the utilization of complementary and alternative medicine in the MHS 20 to identify interventions that were popular with patients but for which potentially little evidence-based guidance exists. We focused our scoping efforts on complementary approaches such as stress management, hypnotherapy, massage, biofeedback, chiropractic, and music therapy to align with the funding scope. In the next step, we reviewed the existing clinical practice guidelines to determine whether clinicians have guidance regarding these approaches. The Department of Defense Health Related Behaviors Survey of Active Duty Military Personnel 21 is an anonymous survey conducted every 3 years on service members with the aim of identifying interventions or health behaviors patients currently use. To address evidence gaps most relevant to patients, we screened the survey results, and then matched the more prevalent needs identified with guidance provided in relevant clinical practice guidelines.

We consulted the priority review list assembled by the Cochrane group to identify research needs for systematic reviews. We screened the 2015–2017 lists for mental health topics that are open to new authors, that is, those that do not have an author team currently dedicated to the topic. None of the currently available topics appeared relevant to psychological health and no topics were added to the table. We also consulted with ongoing federally funded projects to identify evidence gaps that were beyond the scope of the other projects. In addition, we screened a list of psychological health research priorities developed at PHCoE for knowledge gaps that could be addressed in systematic reviews or evidence maps. Finally, we screened resources available on MHS web sites for evidence gaps.

Gap Analysis Procedure and Approach to Translating Gaps into Evidence Review Format

We first screened these sources for knowledge gaps, regardless of considerations of whether the gap is amenable to evidence review. However, we did not include research gaps where the source explicitly indicated that the knowledge gap is due to the lack of primary research. We distinguished 5 evidence gap domains and abstracted gaps across pertinent areas: interventions or diagnostic questions, treatment outcomes or specific populations, and health services research and health care delivery models.

We then translated the evidence gaps into potential topics for evidence maps and/or systematic reviews. Evidence maps provide a broad overview of large research areas using data visualizations to document the presence and absence of evidence. 22 Similar to scoping reviews, evidence maps do not necessarily address the effects of interventions but can be broader in scope. Systematic reviews are a standardized research methodology designed to answer clinical and policy questions with published research using meta-analysis to estimate effect sizes and formal grading of the quality of evidence. We considered systematic reviews for effectiveness and comparative effectiveness questions regarding specific intervention and diagnostic approaches.

Stakeholder Input

Evidence synthesis gaps that were determined to be amenable to systematic review or evidence map methods provided the basis for stakeholder input. Although all topics were reviewed by project personnel, we also identified psychological health service leads for Army, Navy, Air Force, and Marines within the Defense Health Agency as key stakeholders to be included in the topic selection process. To date, 2 rounds of formal ratings by stakeholders have been undertaken.

The first round focused on the need for systematic review covering issues related to posttraumatic stress disorder (PTSD). The second round focused on other potential psychological health topics determined to be compatible with the MHS mission. Represented clinical areas were suicide prevention and aftercare, depressive disorders, anxiety disorders, traumatic brain injury, substance use disorder including alcohol and opioid use disorder, and chronic pain. All of the potential topics addressed either the effects of clinical interventions or health service research questions.

Stakeholders rated the topics based on their potential to inform psychological health care in the military health system. The raters used a scale 5-point rating scale ranging from “No impact” to “Very high impact.” In addition, stakeholders were able to add additional suggestions for evidence review. We analyzed the mean, the mode, and individual stakeholder rating indicating “high impact” for individual topics.

Feasibility Scans

Feasibility scans provided an estimate of the volume and the type of existing research literature which is informative for 3 reasons. First, this process determined whether sufficient research was available to inform a systematic review or an evidence map. Second, feasibility scans can provide an estimate of the required resources for an evidence review by establishing whether only a small literature base or a large number of research studies exists. Finally, feasibility scans identify existing high-profile evidence synthesis reports that could make a new synthesis obsolete.

Feasibility scans for potential evidence maps concentrated on the size of the body of research that would need to be screened and the relevant synthesis questions that can inform how this research should be organized in the evidence map. Feasibility scans for systematic reviews aimed to determine the number of relevant studies, existing high-quality reviews, and the number of studies not covered in existing reviews. Randomized controlled trials (RCTs) are the focus of most of the systematic review topics, that is, strong research evidence that could inform clinical practice guideline committees to recommend either for or against interventions. An experienced systematic reviewer used PubMed, a very well-maintained and user-friendly database for biomedical literature, developed preliminary search strategies, and applied database search filters (eg, for RCTs or systematic reviews) in preliminary literature searches to estimate the research volume for each topic.

Scans also identified any existing high-quality evidence review published by agencies specializing in unbiased evidence syntheses such as the Agency for Healthcare Research and Quality (AHRQ)’s Evidence-based Practice Center program, the Cochrane Collaboration, the Campbell Collaboration, the Evidence Synthesis Program of the Department of Veterans Affairs, and the Federal Health Technology Assessment program. We used the databases PubMed and PubMed Health to identify reports. We appraised the scope, relevance and publication year of the existing high-profile evidence reviews. The research base for psychological health develops rapidly and evidence syntheses need to ensure that current clinical policies reflect the best available evidence. When determining the feasibility and appropriateness of a new systematic review, we took the results of the original review and any new studies that had been published subsequent to the systematic review on the same topic into account.

The following results are described: the results of the scoping searches and gap analysis, the translation of gaps into evidence synthesis format, the stakeholder input ratings, and the feasibility scans.

Scoping Searches and Gap Analysis Results

The scoping search and gap analysis identified a large number of evidence gaps as documented in the gap analysis table in the Appendix (Supplemental Digital Content, http://links.lww.com/MLR/B836 ). Across sources, we identified 58 intervention, 9 diagnostics, 12 outcome, 19 population, and 24 health services evidence synthesis gaps. The evidence gaps varied considerably with regard to scope and specificity, for example, highlighting knowledge gaps in recommendations for medications for specific clinical indications or treatment combinations 4 to pointing out to gaps in supporting caregivers. 11 The largest group of evidence gaps were documented for interventions. This included open questions for individual interventions (eg, ketamine) 12 as well as the best format and modality within an intervention domain (eg, use of telehealth). 6 Diagnostic evidence gaps included open questions regarding predictive risk factors that could be used in suicide prevention 8 and the need for personalized treatments. 12 Outcome evidence gaps often pointed to the lack of measured outcomes to include cost-effectiveness as well as the lack of knowledge on hypothesized effects, such as increased access or decreased stigma associated with technology-based modalities. 23 Population evidence gaps addressed specific patient populations such as complex patients 5 and family members of service members. 11 The health services evidence gaps addressed care support through technology (eg, videoconferencing 23 ) as well as treatment coordination within health care organizations such as how treatment for substance use disorder should be coordinated with treatment for co-occurring conditions. 4

Potential Evidence Synthesis Topics

The gaps were translated into potential evidence map or systematic review topics. This translation process took into account that some topics cannot easily be operationalized as an evidence review. For example, knowledge gaps regarding prevalence or utilization estimates were hindered by the lack of publicly available data. In addition, we noted that some review questions may require an exhaustive search and a full-text review of the literature because the information cannot be searched for directly, and hence were outside the budget restraints.

The clinical areas and number of topics were: PTSD (n=19), suicide prevention (n=14), depression (n=9), bipolar disorder (n=9), substance use (n=24), traumatic brain injury (n=20), anxiety (n=1), and cross-cutting (n=14) evidence synthesis topics. All topic areas are documented in the Appendix (Supplemental Digital Content, http://links.lww.com/MLR/B836 ).

Stakeholder Input Results

Stakeholders rated 19 PTSD-related research gaps and suggested an additional 5 topics for evidence review, addressing both preventions as well as treatment topics. Mean ratings for topics ranged from 1.75 to 3.5 on a scale from 0 (no impact potential) to 4 (high potential for impact). Thus, although identified as research gaps, the potential of an evidence review to have an important impact on the MHS varied across the topics. Only 2 topics received a mean score of ≥3 (high potential), including predictors of PTSD treatment retention and response and PTSD treatment dosing, duration, and sequencing . In addition, raters’ opinions varied considerably across some topics with SDs ranging from 0.5 to 1.5 across all topics.

The stakeholders rated 22 other psychological health topics, suggested 2 additional topics for evidence review, and revised 2 original topics indicating which aspect of the research gap would be most important to address. Mean scores for the rated topics ranged from 0.25 to 3.75, with the SDs for each item ranging from 0 to 1.4. Six topics received an average score of ≥3, primarily focused on the topics of suicide prevention, substance use disorders, and telehealth interventions. Opinions on other topics varied widely across service leads.

Feasibility Scan Results

Evidence review topics that were rated by stakeholders as having some potential for impact (using a rating cutoff score>1) within the MHS were selected for formal feasibility scans. To date, 46 topics have been subjected to feasibility scans. Of these, 11 were evaluated as potential evidence map, 17 as a systematic review, and 18 as either at the time of the topic suggestion. The results of the feasibility scans are documented in the table in the Appendix (Supplemental Digital Content, http://links.lww.com/MLR/B836 ).

The feasibility scan result table shows the topic, topic modification suggestions based on literature reviews, and the mean stakeholder impact rating. The table shows the employed search strategy to determine the feasibility; the estimated number of RCTs in the database PubMed; the number and citation of Cochrane, Evidence Synthesis Program, and Health Technology Assessment reviews, that is, high-quality syntheses; and the estimated number of RCTs published after the latest existing systematic review that had been published on the topic.

Each potential evidence review topic was discussed in a narrative review report that documented the reason for determining the topic to be feasible or not feasible. Reasons for determining the topic to be not feasible included the lack of primary research for an evidence map or systematic review, the presence of an ongoing research project that may influence the evidence review scope, and the presence of an existing high-quality evidence review. Some topics were shown to be feasible upon further modification; this included topics that were partially addressed in existing reviews or topics where the review scope would need to be substantially changed to result in a high-impact evidence review. Topics to be judged feasible met all outlined criteria, that is, the topic could be addressed in a systematic review or evidence map, there were sufficient studies to justify a review, and the review would not merely replicate an existing review but make a novel contribution to the evidence base.

The project describes a transparent and structured approach to identify and prioritize evidence synthesis topics using scoping reviews, stakeholder input, and feasibility scans.

The work demonstrates an approach to establishing and evaluating evidence synthesis gaps. It has been repeatedly noted that research gap analyses often lack transparency with little information on analytic criteria and selection processes. 24 , 25 In addition, research need identification may not be informed by systematic literature searches documenting gaps but primarily rely on often unstructured content expert input. 26 , 27 Evidence synthesis needs assessment is a new field that to date has received very little attention. However, as health care delivery organizations move towards providing evidence-based treatments and the existing research continue to grow, both evidence reviews and evidence review gap identification and prioritization will become more prominent.

One of the lessons learned is that the topic selection process added to the timeline and required additional resources. The scoping searches, translation into evidence synthesis topics, stakeholder input, and feasibility scans each added time and the project required a longer period of performance compared to previous evidence synthesis projects. The project components were undertaken sequentially and had to be divided into topic areas. For example, it was deemed too much to ask for stakeholder input for all 122 topics identified as potential evidence review topics. Furthermore, we needed to be flexible to be able to respond to unanticipated congressional requests for evidence reviews. However, our process of identifying synthesis gaps, checking whether topics can be translated into syntheses, obtaining stakeholder input to ensure that the gaps are meaningful and need filling, and estimating the feasibility and avoiding duplicative efforts, has merit considering the alternative. More targeted funding of evidence syntheses ensures relevance and while resources need to be spent on the steps we are describing, these are small investments compared to the resources required for a full systematic review or evidence map.

The documented stakeholder engagement approach was useful for many reasons, not just for ensuring that the selection of evidence synthesis topics was transparent and structured. The stakeholders were alerted to the evidence synthesis project and provided input for further topic refinement. This process also supported the identification of a ‘customer’ after the review was completed, that is, a stakeholder who is keen on using the evidence review is likely to take action on its results and ready to translate the findings into clinical practice. The research to practice gap is substantial and the challenges of translating research to practice are widely documented. 28 – 30 Inefficient research translation delays delivery of proven clinical practices and can lead to wasteful research and practice investments.

The project had several strengths and limitations. The project describes a successful, transparent, and structured process to engage stakeholders and identifies important and feasible evidence review topics. However, the approach was developed to address the specific military psychological health care system needs, and therefore the process may not be generalizable to all other health care delivery organizations. Source selection was tailored to psychological health synthesis needs and process modifications (ie, sources to identify gaps) are needed for organizations aiming to establish a similar procedure. To keep the approach manageable, feasibility scans used only 1 database and we developed only preliminary, not comprehensive searches. Hence, some uncertainty about the true evidence base for the different topics remained; feasibility scans can only estimate the available research. Furthermore, the selected stakeholders were limited to a small number of service leads. A broader panel of stakeholders would have likely provided additional input. In addition, all evaluations of the literature relied on the expertise of experienced systematic reviewers; any replication of the process will require some staff with expertise in the evidence review. Finally, as outlined, all described processes added to the project timeline compounding the challenges of providing timely systematic reviews for practitioners and policymakers. 31 , 32

We have described a transparent and structured approach to identify and prioritize areas of evidence synthesis for a health care system. Scoping searches and feasibility scans identified gaps in the literature that would benefit from evidence review. Stakeholder input helped ensure the relevance of review topics and created a receptive audience for targeted evidence synthesis. The approach aims to advance the field of evidence synthesis needs assessment.

Supplementary Material

Acknowledgments.

The authors thank Laura Raaen, Margaret Maglione, Gulrez Azhar, Margie Danz, and Thomas Concannon for content input and Aneesa Motala and Naemma Golshan for administrative assistance.

Supported by the Office of the Secretary of Defense, Psychological Health Center of Excellence. The findings and conclusions in this manuscript are those of the authors and do not necessarily represent the views of the Psychological Health Center of Excellence, the Office of the Secretary of Defense, or the United States government.

The authors declare no conflict of interest.

How to identify research gaps

Anthony Newman

About this video

Researching is an ongoing task, as it requires you to think of something nobody else has thought of before. This is where the research gap comes into play.

We will explain what a research gap is, provide you with steps on how to identify these research gaps, as well as provide you several tools that can help you identify them.

About the presenter

Senior Publisher, Life Sciences, Elsevier

Anthony Newman is a Senior Publisher with Elsevier and is based in Amsterdam. Each year he presents numerous Author Workshops and other similar trainings worldwide. He is currently responsible for fifteen biochemistry and laboratory medicine journals, he joined Elsevier over thirty years ago and has been Publisher for more than twenty of those years. Before then he was the marketing communications manager for the biochemistry journals of Elsevier.  By training he is a polymer chemist and was active in the surface coating industry before leaving London and moving to Amsterdam in 1987 to join Elsevier.

Researcher Academy on Twitter

The Best Method In Identifying Research Gap: An In-depth Analysis

What is research gap.

A research gap refers to an area or topic that has not been sufficiently explored or studied, leaving unanswered questions or unresolved issues. This article will provide an overview of the research gaps concept and their significance in the research process. It will also discuss the importance of identifying research gaps and how they can be used to formulate research objectives and problem statements. Additionally, this section will explore various techniques and strategies for conducting research gap analysis and bridging the gap between existing knowledge and future research endeavors.

Background of Research Gap

In the world of research, identifying and addressing research gaps is a crucial step towards advancing knowledge and understanding in a particular field. A research gap refers to an area in the existing body of knowledge where there is a lack of research or unanswered questions. In other words, it is a gap in the literature that needs to be addressed through further research.

Research gaps can occur for various reasons, such as a lack of studies on a specific topic, contradictory findings in existing research, or the emergence of new ideas or concepts that have not been explored. Identifying research gaps is crucial for the advancement of knowledge and the development of new research questions . By filling these gaps, researchers can contribute to the existing body of knowledge and address unanswered questions.

Furthermore, research gaps provide opportunities for researchers to make significant contributions to their field by conducting innovative and impactful studies. Understanding the background of research gaps is essential for researchers to identify areas where their research can make a meaningful impact.

Significance of Research Gap

The research gap plays a crucial role in the field of academia and scientific research. It holds significant importance for researchers, scholars, and the overall advancement of knowledge.

Contributing to Knowledge and Developing New Theories

One of the primary reasons why the research gap is significant is that it identifies areas where there is a lack of knowledge or understanding. It highlights the gaps in existing research, indicating the need for further investigation and exploration. By identifying research gaps, researchers can contribute to the existing body of knowledge by filling in the missing pieces. This leads to the development of new theories, concepts, and insights that can enhance our understanding of a particular subject or field.

Fostering Innovation and Progress through Unexplored Areas

Furthermore, the significance of research gaps lies in their potential to drive innovation and progress. When researchers identify areas that have not been extensively studied, they have the opportunity to explore new ideas, methodologies, and approaches. This can lead to groundbreaking discoveries and advancements in various disciplines.

Efficient Utilization of Resources to Avoid Duplication

Moreover, research gaps also help in avoiding duplication of efforts. By identifying what has already been studied and what areas are yet to be explored, researchers can focus their efforts on addressing the gaps rather than repeating existing research. This ensures that resources are utilized effectively and efficiently.

Impacting Practical Applications and Real-World Solutions

Additionally, the significance of research gaps extends to the practical application of research findings. By addressing the gaps in existing knowledge, researchers can provide valuable insights and solutions to real-world problems. This can have a direct impact on industries, policy-making, and decision-making processes. In conclusion, the significance of research gaps cannot be overstated. They serve as catalysts for knowledge advancement, innovation, and practical application. By identifying and addressing these gaps, researchers contribute to the growth and development of their respective fields, ultimately benefiting society as a whole.

Research Gap Examples

Identifying research gaps is crucial for pursuing innovative research. There are various types of research gaps that can be found in existing literature.

Knowledge gaps

Sometimes, a research gap exists when there is a concept or new idea that hasn’t been studied at all. For example, in the field of psychology, there might be a lack of research on the effects of social media on mental health in adolescents.

Conceptual gaps

Conceptual gaps occur when there is a lack of understanding or clarity about a particular concept or theory. For instance, in the field of economics, there might be a research gap in understanding the relationship between income inequality and economic growth.

Methodological gaps

Methodological gaps refer to the absence of appropriate research methods or techniques to study a specific phenomenon. For example, in the field of biology, there might be a research gap in developing a reliable method to detect a certain type of genetic mutation.

Data gaps occur when there is a lack of available data or insufficient data to address a research question. For instance, in the field of climate science, there might be a research gap in obtaining long-term temperature data for a specific region.

Practical gaps

Practical gaps exist when there is a discrepancy between theoretical knowledge and practical application. For example, in the field of education, there might be a research gap in implementing effective teaching strategies for students with learning disabilities.

Research Gap Analysis Techniques

Carry out a comprehensive literature review.

There are several techniques that can be used to identify research gaps. One common technique is conducting a comprehensive literature review, where researchers examine existing research papers, articles, books, and other relevant sources. By analyzing these materials, researchers can pinpoint what has already been explored and identify areas that require further investigation.

Examining Limitations and Contradictions in Existing Studies

During the literature review, researchers should pay attention to the limitations and gaps in the existing studies. These limitations can include unanswered research questions, contradictory findings, methodological issues, or areas that have not been explored in depth. Researchers can also gain insights by comparing and contrasting the findings, methodologies, and conclusions of different studies within their field, which helps in building a more complete understanding of the topic.

Exploring Interdisciplinary Insights to Identify Gaps

Additionally, researchers can seek inspiration from interdisciplinary fields or related disciplines to identify research gaps. Sometimes, a research gap in one field may have been addressed in another field, and researchers can draw upon these insights to identify areas that have not been explored within their own field. It is important to note that identifying research gaps is not a one-time process. As new studies are published and the field evolves, new gaps may emerge. Therefore, researchers should continuously update their knowledge and review the literature to stay informed about the latest developments and identify new research gaps.

Utilizing Surveys and Interviews for Direct Insights

Another technique is conducting surveys or interviews . This allows researchers to gather information directly from individuals who are knowledgeable in the field. Surveys can be distributed to a large number of participants, while interviews provide more in-depth insights from a smaller group of experts. By collecting data through surveys or interviews, researchers can identify gaps in knowledge or areas where more research is needed. Focus groups are another effective technique for conducting a research gap analysis. In a focus group, a small group of individuals with relevant expertise or experience is brought together to discuss a specific topic. Through group discussions and interactions, researchers can gain valuable insights and identify gaps in knowledge or areas that require further investigation.

Employing Quantitative Analysis to Discover Data Gaps

Quantitative analysis techniques, such as statistical analysis, can also be used to identify research gaps. By analyzing existing data sets, researchers can identify patterns, trends, or gaps in the data that may indicate areas where further research is needed. This type of analysis can provide valuable insights into the gaps in existing knowledge and guide future research directions.

Applying Gap Analysis Frameworks for Structured Assessment

In addition to these techniques, researchers can also use gap analysis frameworks or models to systematically identify and analyze research gaps. These frameworks provide a structured approach to assess the current state of knowledge, determine the desired future state, and identify the gaps that need to be addressed. By using a framework, researchers can ensure a comprehensive analysis of research gaps and develop strategies to bridge those gaps.

Research Gap and Problem Statement

A research problem is a specific issue or question that a researcher wants to investigate. It is the foundation of a research study and provides a clear direction for the research process. The identification of a research gap often leads to the formulation of a research problem.

The problem statement is a constructed sentence that defines the research problem and guides the research question. It helps to clarify the purpose of the study and provides a framework for the research design and research methodology. By addressing the research gap through the problem statement, researchers can contribute to the existing body of knowledge and fill the void in the literature. The research problem becomes the focal point of the study, and the research gap serves as the motivation for conducting the research.

Identifying a research gap and formulating a problem statement are crucial steps in the research process. They ensure that the research study is relevant, meaningful, and contributes to the advancement of knowledge in the field. As a key component of the research framework , the problem statement integrates directly into the overall structure that guides the entire research process, ensuring that all aspects of the investigation are aligned with the identified gaps and research questions.

Bridging the Research Gap

Bridging the research gap is crucial for the advancement of knowledge and the improvement of various fields. It involves closing the divide between research findings and their practical application in real-world settings. By bridging this gap, researchers can ensure that their work has a meaningful impact on society and that it is effectively utilized by practitioners and policymakers.

Effective Collaboration between Researchers and Practitioners

There are several strategies and approaches that can be employed to bridge the research gap. One practical way is to establish collaborations and partnerships between researchers and practitioners. By working together, researchers can gain valuable insights from practitioners’ experiences and expertise, while practitioners can benefit from the latest research findings and evidence-based practices. This collaboration can lead to the development of more relevant and effective solutions to real-world problems.

For facilitating such connections and collaborations, platforms like Researchmate.net are invaluable resources, providing the tools and community needed to bring together researchers and practitioners from diverse fields.

Intermediary Organizations in Facilitating Research Application

Another approach to bridging the research gap is through the use of intermediary organizations. These organizations act as a bridge between researchers and practitioners, facilitating the translation and dissemination of research findings into practical applications. They can provide training, resources, and support to practitioners, helping them to implement evidence-based practices in their work. Intermediary organizations also play a crucial role in promoting knowledge exchange and collaboration between researchers and practitioners.

Enhancing Communication and Knowledge Transfer in Research

Furthermore, bridging the research gap requires effective communication and knowledge transfer. Researchers need to communicate their findings in a clear and accessible manner, using language that is understandable to practitioners and policymakers. This can be achieved through the use of plain language summaries, policy briefs, and other forms of knowledge translation.

Engaging with Practitioners and Policymakers

Additionally, researchers should actively engage with practitioners and policymakers, seeking their input and feedback to ensure that research findings are relevant and applicable to real-world contexts.

In conclusion, exploring the research gap is a critical step in the research process. It helps researchers identify areas where further investigation is needed, contributes to the advancement of knowledge, and drives innovation. By understanding the research gap, researchers can make meaningful contributions to their field and address unanswered questions. Bridging the research gap requires collaboration and commitment from all stakeholders, but the potential benefits are immense.

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How to find and fill gaps in the literature [Research Gaps Made Easy]

As we dive deeper into the realm of research, one term repeatedly echoes in the corridors of academia: “gap in literature.”

But what does it mean to find a gap in the literature, and why is it so crucial for your research project?

A gap in the literature refers to an area that hasn’t been studied or lacks substantial inquiry in your field of study. Identifying such gaps allows you to contribute fresh insights and innovation, thereby extending the existing body of knowledge.

It’s the cornerstone for every dissertation or research paper, setting the stage for an introduction that explicitly outlines the scope and aim of your investigation.

This gap review isn’t limited to what has been published in peer-reviewed journals; it may also include conference papers, dissertations, or technical reports, i.e., types of papers that provide an overview of ongoing research. 

This step is where your detective work comes in—by spotting trends, common methodologies, and unanswered questions, you can unearth an opportunity to explore an unexplored domain, thereby finding a research gap. 

Why Looking for Research Gaps is Essential

Looking for research gaps is essential as it enables the discovery of novel and unique contributions to a particular field.

By identifying these gaps, found through methods such as analyzing concluding remarks of recent papers, literature reviews, examining research groups’ non-peer-reviewed outputs, and utilizing specific search terms on Google Scholar, one can discern the trajectory of ongoing research and unearth opportunities for original inquiry.

These gaps highlight areas of potential innovation, unexplored paths, and disputed concepts, serving as the catalyst for valuable contributions and progression in the field. Hence, finding research gaps forms the basis of substantial and impactful scientific exploration.

Then your research can contribute by finding and filling the gap in knowledge. 

Method 1: Utilizing Concluding Remarks of Recent Research

When embarking on a quest to find research gaps, the concluding remarks of recent research papers can serve as an unexpected treasure map.

This section of a paper often contains insightful comments on the limitations of the work and speculates on future research directions.

These comments, although not directly pointing to a research gap, can hint at where the research is heading and what areas require further exploration.

Consider these remarks as signposts, pointing you towards uncharted territories in your field of interest.

For example, you may come across a conclusion in a recent paper on artificial intelligence that indicates a need for more research on ethical considerations. This gives you a direction to explore – the ethical implications of AI. 

However, it’s important to bear in mind that while these statements provide valuable leads, they aren’t definitive indicators of research gaps. They provide a starting point, a clue to the vast research puzzle.

Your task is to take these hints, explore further, and discern the most promising areas for your investigation. It’s a bit like being a detective, except your clues come from scholarly papers instead of crime scenes!

Method 2: Examining Research Groups and Non-peer Reviewed Outputs

If concluding remarks are signposts to potential research gaps, non-peer reviewed outputs such as preprints, conference presentations, and dissertations are detailed maps guiding you towards the frontier of research.

These resources reflect the real-time development in the field, giving you a sense of the “buzz” that surrounds hot topics.

These materials, presented but not formally published, offer a sneak peek into ongoing studies, providing you with a rich source of information to identify emerging trends and potential research gaps.

For instance, a presentation on the impact of climate change on mental health might reveal a new line of research that’s in its early stages.

One word of caution: while these resources can be enlightening, they have not undergone the rigorous peer review process that published articles have.

This means the quality of research may vary and the findings should be interpreted with a critical eye. Remember, the key is to pinpoint where the research is heading and then carve out your niche within that sphere.

Exploring non-peer reviewed outputs allows you to stay ahead of the curve, harnessing the opportunity to investigate and contribute to a burgeoning area of study before it becomes mainstream.

Method 3: Searching for ‘Promising’ and ‘Preliminary’ Results on Google Scholar

With a plethora of research at your fingertips, Google Scholar can serve as a remarkable tool in your quest to discover research gaps. The magic lies in a simple trick: search for the phrases “promising results” or “preliminary results” within your research area. Why these specific phrases? Scientists often use them when they have encouraging but not yet fully verified findings.

To illustrate, consider an example. Type “promising results and solar cell” into Google Scholar, and filter by recent publications.

The search results will show you recent studies where researchers have achieved promising outcomes but may not have fully developed their ideas or resolved all challenges.

These “promising” or “preliminary” results often represent areas ripe for further exploration.

They hint at a research question that has been opened but not fully answered. However, tread carefully.

While these findings can indeed point to potential research gaps, they can also lead to dead ends. It’s crucial to examine these leads with a critical eye and further corroborate them with a comprehensive review of related research.

Nevertheless, this approach provides a simple, effective starting point for identifying research gaps, serving as a launchpad for your explorations.

Method 4: Reading Around the Subject

Comprehensive reading forms the bedrock of effective research. When hunting for research gaps, you need to move beyond just the preliminary findings and delve deeper into the context surrounding these results.

This involves broadening your view and reading extensively around your topic of interest.

In the course of your reading, you will start identifying common themes, reoccurring questions, and shared challenges in the research.

Over time, patterns will emerge, helping you recognize areas where research is thin or missing.

For instance, in studying autonomous vehicles, you might find recurring questions about regulatory frameworks, pointing to a potential gap in the legal aspects of this technology.

However, this method is not about scanning through a huge volume of literature aimlessly. It involves strategic and critical reading, looking for patterns, inconsistencies, and areas where the existing literature falls short.

It’s akin to painting a picture where some parts are vividly detailed while others remain sketchy. Your goal is to identify these sketchy areas and fill in the details.

So grab your academic reading list, and start diving into the ocean of knowledge. Remember, it’s not just about the depth, but also the breadth of your reading, that will lead you to a meaningful research gap.

Method 5: Consulting with Current Researchers

Few methods are as effective in uncovering research gaps as engaging in conversations with active researchers in your field of interest.

Current researchers, whether they are PhD students, postdoctoral researchers, or supervisors, are often deeply engaged in ongoing studies and understand the current challenges in their respective fields.

Start by expressing genuine interest in their work. Rather than directly asking for research gaps, inquire about the challenges they are currently facing in their projects.

You can ask, “What are the current challenges in your research?”

Their responses can highlight potential areas of exploration, setting you on the path to identifying meaningful research gaps.

Moreover, supervisors, particularly those overseeing PhD and Master’s students, often have ideas for potential research topics. By asking the right questions, you can tap into their wealth of knowledge and identify fruitful areas of study.

While the act of discovering research gaps can feel like a solitary journey, it doesn’t have to be.

Engaging with others who are grappling with similar challenges can provide valuable insights and guide your path. After all, the world of research thrives on collaboration and shared intellectual curiosity.

Method 6: Utilizing Online Tools

The digital age has made uncovering research gaps easier, thanks to a plethora of online tools that help visualize the interconnectedness of research literature.

Platforms such as:

• Connected Papers,
• ResearchRabbit, and

allow you to see how different papers in your field relate to one another, thereby creating a web of knowledge.

Upon creating this visual web, you may notice that many papers point towards a certain area, but then abruptly stop. This could indicate a potential research gap, suggesting that the topic hasn’t been adequately addressed or has been sidelined for some reason.

By further reading around this apparent gap, you can understand if it’s a genuine knowledge deficit or merely a research path that was abandoned due to inherent challenges or a dead end.

These online tools provide a bird’s eye view of the literature, helping you understand the broader landscape of research in your area of interest.

By examining patterns and relationships among studies, you can effectively zero in on unexplored areas, making these tools a valuable asset in your quest for research gaps.

Method 7: Seeking Conflicting Ideas in the Literature

In scientific research, areas of conflict can often be fertile ground for finding research gaps. These are areas where there’s a considerable amount of disagreement or ongoing debate among researchers.

If you can bring a fresh perspective, a new technique, or a novel hypothesis to such a contentious issue, you may well be on your way to uncovering a significant research gap.

Take, for instance, an area in psychology where there is a heated debate about the influence of nature versus nurture.

If you can introduce a new dimension to the debate or a method to test a novel hypothesis, you could potentially fill a significant gap in the literature.

Investigating areas of conflict not only opens avenues for exploring research gaps, but it also provides opportunities for you to make substantial contributions to your field. The key is to be able to see the potential for a new angle and to muster the courage to dive into contentious waters.

However, engaging with conflicts in research requires careful navigation.

Striking the right balance between acknowledging existing research and championing new ideas is crucial.

In the end, resolving these conflicts or adding significant depth to the debate can be incredibly rewarding and contribute greatly to your field.

The Right Perspective Towards Research Gaps

The traditional understanding of research gaps often involves seeking out a ‘bubble’ of missing knowledge in the sea of existing research, a niche yet to be explored. However, in today’s fast-paced research environment, these bubbles are becoming increasingly rare.

The paradigm of finding research gaps is shifting. It’s no longer just about seeking out holes in existing knowledge, but about understanding the leading edge of research and the directions it could take. It involves not just filling in the gaps but extending the boundaries of knowledge.

To identify such opportunities, develop a comprehensive understanding of the research landscape, identify emerging trends, and keep a close eye on recent advancements.

Look for the tendrils of knowledge extending out into the unknown and think about how you can push them further. It might be a challenging task, but it offers the potential for making substantial, impactful contributions to your field. 

Remember, every great innovation begins at the edge of what is known. That’s where your research gap might be hiding.

Wrapping up – Literature and research gaps

Finding and filling a gap in the literature is a task crucial to every research project. It begins with a systematic review of existing literature – a quest to identify what has been studied and more importantly, what hasn’t.

You must delve into the rich terrain of literature in their field, from the seminal, citation-heavy research articles to the fresh perspective of conference papers. Identifying the gap in the literature necessitates a thorough evaluation of existing studies to refine your area of interest and map the scope and aim of your future research.

The purpose is to explicitly identify the gap that exists, so you can contribute to the body of knowledge by providing fresh insights. The process involves a series of steps, from consulting with faculty and experts in the field to identify potential trends and outdated methodologies, to being methodological in your approach to identify gaps that have emerged.

Upon finding a gap in the literature, we’ll ideally have a clearer picture of the research need and an opportunity to explore this unexplored domain.

It is important to remember that the task does not end with identifying the gap. The real challenge lies in drafting a research proposal that’s objective, answerable, and can quantify the impact of filling this gap. 

It’s important to consult with your advisor, and also look at commonly used parameters and preliminary evidence. Only then can we complete the task of turning an identified gap in the literature into a valuable contribution to your field, a contribution that’s peer-reviewed and adds to the body of knowledge.

To find a research gap is to stand on the shoulders of giants, looking beyond the existing research to further expand our understanding of the world.

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.

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Research Process

• Brainstorming
• Explore Google This link opens in a new window
• Explore Web Resources
• Explore Background Information
• Explore Books
• Explore Scholarly Articles
• Narrowing a Topic
• Primary and Secondary Resources
• Academic, Popular & Trade Publications
• Scholarly and Peer-Reviewed Journals
• Grey Literature
• Clinical Trials
• Evidence Based Treatment
• Scholarly Research
• Database Research Log
• Search Limits
• Keyword Searching
• Boolean Operators
• Phrase Searching
• Truncation & Wildcard Symbols
• Proximity Searching
• Field Codes
• Subject Terms and Database Thesauri
• Reading a Scientific Article
• Website Evaluation
• Article Keywords and Subject Terms
• Cited References
• Citing Articles
• Related Results
• Search Within Publication
• Database Alerts & RSS Feeds
• Personal Database Accounts
• Persistent URLs
• Literature Gap and Future Research
• Web of Knowledge
• Annual Reviews
• Systematic Reviews & Meta-Analyses
• Finding Seminal Works
• Exhausting the Literature
• Finding Dissertations
• Researching Theoretical Frameworks
• Research Methodology & Design
• Tests and Measurements
• Organizing Research & Citations This link opens in a new window
• Picking Where to Publish
• Bibliometrics
• Learn the Library This link opens in a new window

Research Articles

These examples below illustrate how researchers from different disciplines identified gaps in existing literature. For additional examples, try a NavigatorSearch using this search string: ("Literature review") AND (gap*)

• Addressing the Recent Developments and Potential Gaps in the Literature of Corporate Sustainability
• Applications of Psychological Science to Teaching and Learning: Gaps in the Literature
• Attitudes, Risk Factors, and Behaviours of Gambling Among Adolescents and Young People: A Literature Review and Gap Analysis
• Do Psychological Diversity Climate, HRM Practices, and Personality Traits (Big Five) Influence Multicultural Workforce Job Satisfaction and Performance? Current Scenario, Literature Gap, and Future Research Directions
• Entrepreneurship Education: A Systematic Literature Review and Identification of an Existing Gap in the Field
• Evidence and Gaps in the Literature on HIV/STI Prevention Interventions Targeting Migrants in Receiving Countries: A Scoping Review
• Homeless Indigenous Veterans and the Current Gaps in Knowledge: The State of the Literature
• A Literature Review and Gap Analysis of Emerging Technologies and New Trends in Gambling
• A Review of Higher Education Image and Reputation Literature: Knowledge Gaps and a Research Agenda
• Trends and Gaps in Empirical Research on Open Educational Resources (OER): A Systematic Mapping of the Literature from 2015 to 2019
• Where Should We Go From Here? Identified Gaps in the Literature in Psychosocial Interventions for Youth With Autism Spectrum Disorder and Comorbid Anxiety

What is a ‘gap in the literature’?

The gap, also considered the missing piece or pieces in the research literature, is the area that has not yet been explored or is under-explored. This could be a population or sample (size, type, location, etc.), research method, data collection and/or analysis, or other research variables or conditions.

It is important to keep in mind, however, that just because you identify a gap in the research, it doesn't necessarily mean that your research question is worthy of exploration. You will want to make sure that your research will have valuable practical and/or theoretical implications. In other words, answering the research question could either improve existing practice and/or inform professional decision-making (Applied Degree), or it could revise, build upon, or create theoretical frameworks informing research design and practice (Ph.D Degree). See the Dissertation Center  for additional information about dissertation criteria at NU.

For a additional information on gap statements, see the following:

• How to Find a Gap in the Literature
• Write Like a Scientist: Gap Statements

How do you identify the gaps?

Conducting an exhaustive literature review is your first step. As you search for journal articles, you will need to read critically across the breadth of the literature to identify these gaps. You goal should be to find a ‘space’ or opening for contributing new research. The first step is gathering a broad range of research articles on your topic. You may want to look for research that approaches the topic from a variety of methods – qualitative, quantitative, or mixed methods. 

See the videos below for further instruction on identifying a gap in the literature.

Identifying a Gap in the Literature - Dr. Laurie Bedford

How Do You Identify Gaps in Literature? - SAGE Research Methods

Literature Gap & Future Research - Library Workshop

This workshop presents effective search techniques for identifying a gap in the literature and recommendations for future research.

Where can you locate research gaps?

As you begin to gather the literature, you will want to critically read for what has, and has not, been learned from the research. Use the Discussion and Future Research sections of the articles to understand what the researchers have found and where they point out future or additional research areas. This is similar to identifying a gap in the literature, however, future research statements come from a single study rather than an exhaustive search. You will want to check the literature to see if those research questions have already been answered.

Roadrunner Search

Identifying the gap in the research relies on an exhaustive review of the literature. Remember, researchers may not explicitly state that a gap in the literature exists; you may need to thoroughly review and assess the research to make that determination yourself.

However, there are techniques that you can use when searching in NavigatorSearch to help identify gaps in the literature. You may use search terms such as "literature gap " or "future research" "along with your subject keywords to pinpoint articles that include these types of statements.

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Educational resources and simple solutions for your research journey

How to Identify Gaps in Research: Tips to Speed Up the Process

If you have ever wondered how to identify research gaps, well, you’re not alone. All researchers looking to make a solid contribution to their field need to start by identifying a topic or issue that hasn’t been tackled before and coming up with possible solutions for it. This is where learning what is a research gap, knowing about some research gap examples, and knowing how to identify research gaps becomes important. Through this article, we will try answering these questions for you.

Table of Contents

What is a research gap ?  

Research gaps are areas requiring more studies or research. 1  They can be:   

• an unsolved question or problem within your field.   
• a case where inconclusive or contradictive results exist.   
• a new concept or idea that hasn’t been studied.   
• a new/updated research to replace the outdated existing research.   
• a specific demographic or location that has not been well studied.   

Why is it important to identify research gaps ?  

Identifying and prioritizing research gaps  is an essential part of any research for the following reasons. 2  This can help you:  

• ensure the rapid generation of subsequent research that is informed by input from previous research studies.    
• understand areas of uncertainty within the research problem.   
• establish the research problem and scope of the study.   
• determine the scope of funding opportunities.   

Identifying research gaps : A challenge for early researchers  

Coming up with original, innovative ideas in your chosen area of research can be tricky, especially if you are an early career researcher, for the following reasons: 3,4

• Enormous information available : The introduction, discussion, and future research sections in published research articles provide information about gaps in the research field. It is easy to get overwhelmed and feel confused about which one to address. Using digital tools can help you seek out popular topics or the most cited research papers.   
• Difficulty in organizing the data : One can quickly lose ideas if not appropriately noted. Mapping the question to the resource and maintaining a record can help narrow research gap s.  
• Fear of challenging the existing knowledge : Beginner researchers may not feel confident to question established norms in their field. A good plan of action would be discussing such ideas with your advisor and proceeding according to their feedback or suggestions.   
• Lack of direction and motivation : Early researchers have reported negative emotions regarding academic research, including feeling directionless or frustrated with the effort required in identifying research topics. Again a good advisor can help you stay focused. Mentors can help novice researchers avoid cases with a high risk of failure, from misunderstanding the literature, weak design, or too many unknowns. Talking with other fellow researchers can also help overcome some of the anxiety.

How to identify research gaps  in the literature  

More than 7 million papers get published annually. 5  Considering the volume of existing research, identifying research gaps  from existing literature may seem a daunting task. While there are no hard rules for identifying research gaps, the literature has provided some guidelines for identifying problems worth investigating.   

1. Observe : Personal interests and experiences can provide insight into possible research problems. For example, a researcher interested in teaching may start with a simple observation of students’ classroom behavior and observe the link with learning theories. Developing the habit of reading literature using smart apps like  R Discovery   can keep you updated with the latest trends and developments in the field.   

2. Search : Exploring existing literature will help to identify if the observed problem is documented. One approach is identifying the independent variables used to solve the researcher’s topic of interest (i.e., the dependent variable). Databases such as Emerald, ProQuest, EbscoHost, PubMed, and ScienceDirect can help potential researchers explore existing research gaps. The following steps can help with optimizing the search process once you decide on the key research question based on your interests.

-Identify key terms.

-Identify relevant articles based on the keywords.

-Review selected articles to identify gaps in the literature.  

3. Map : This involves mapping key issues or aspects across the literature. The map should be updated whenever a researcher comes across an article of interest.   

4. Synthesize : Synthesis involves integrating the insights of multiple but related studies. A research gap is identified by combining results and findings across several interrelated studies. 6

5. Consult:  Seeking expert feedback will help you understand if the  research gaps identified are adequate and feasible or if improvements are required.  

6. Prioritize : It is possible that you have identified multiple questions requiring answers. Prioritize the question that can be addressed first, considering their relevance, resource availability, and your research strengths.  

7. Enroll : Research Skills Development Programs, including workshops and discussion groups within or outside the research institution, can help develop research skills, such as framing the research problem. Networking and corroborating in such events with colleagues and experts might help you know more about current issues and problems in your research domain.   

While there is no well-defined process to identify gaps in knowledge, curiosity, judgment, and creativity can help you in identifying these research gaps . Regardless of whether the  research gaps identified are large or small, the study design must be sufficient to contribute toward advancing your field of research.    

References  

• Dissanayake, D. M. N. S. W. (2013). Research, research gap and the research problem.  
• Nyanchoka, L., Tudur-Smith, C., Porcher, R., & Hren, D. Key stakeholders’ perspectives and experiences with defining, identifying and displaying gaps in health research: a qualitative study.  BMJ open ,  10 (11), e039932 (2020).  
• Müller-Bloch, C., & Kranz, J. (2015). A framework for rigorously identifying research gaps in qualitative literature reviews.  
• Creswell, J. W., & Clark, V. L. P. (2017).  Designing and conducting mixed methods research . Sage publications.  
• Fire, M., & Guestrin, C. Over-optimization of academic publishing metrics: observing Goodhart’s Law in action.  GigaScience ,  8 (6), giz053 (2019).  
• Ellis, T. J., & Levy, Y. Framework of problem-based research: A guide for novice researchers on the development of a research-worthy problem.  Informing Science: the International Journal of an Emerging Transdiscipline Volume 11, 2008 ). 

Frequently Asked Questions (FAQs)

Question: How can research gaps be addressed?

Research gaps can be addressed by conducting further studies, experiments, or investigations that specifically target the areas where knowledge is lacking or incomplete. This involves conducting a thorough literature review to identify existing gaps, designing research methodologies to address these gaps, and collecting new data or analyzing existing data to fill the void. Collaboration among researchers, interdisciplinary approaches, and innovative research designs can also help bridge research gaps and contribute to the advancement of knowledge in a particular field.

Question: Can research gaps change over time?

Yes, research gaps can change over time. As new studies are conducted, technologies advance, and societal needs evolve, gaps in knowledge may be identified or existing gaps may become more pronounced. Research gaps are dynamic and subject to shifts as new discoveries are made, new questions arise, and priorities change. It is crucial for researchers to continuously assess and update their understanding of the field to identify emerging research gaps and adapt their research efforts accordingly.

Question: Are research gaps specific to a particular discipline or field?

Research gaps can exist within any discipline or field. Each discipline has its own unique body of knowledge and areas where understanding may be limited. Research gaps can arise from unanswered questions, unexplored phenomena, conflicting findings, practical challenges, or new frontiers of knowledge. They are not limited to a specific discipline or field, as gaps can exist in natural sciences, social sciences, humanities, engineering, or any other area of study.

Question: How can research gaps contribute to the research proposal?

Research gaps play a significant role in the development of research proposals. They help researchers identify a clear rationale and justification for their study. By addressing identified gaps in knowledge, researchers can demonstrate the significance and relevance of their proposed research. Research proposals often include a literature review section that highlights existing gaps and positions the proposed study as a contribution to the field. By explicitly addressing research gaps, researchers can strengthen the credibility and importance of their research proposal, as well as its potential impact on advancing knowledge and addressing critical questions or challenges.

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What is a Research Gap

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Table of Contents

If you are a young researcher, or even still finishing your studies, you’ll probably notice that your academic environment revolves around certain research topics, probably linked to your department or to the interest of your mentor and direct colleagues. For example, if your department is currently doing research in nanotechnology applied to medicine, it is only natural that you feel compelled to follow this line of research. Hopefully, it’s something you feel familiar with and interested in – although you might take your own twists and turns along your career.

Many scientists end up continuing their academic legacy during their professional careers, writing about their own practical experiences in the field and adapting classic methodologies to a present context. However, each and every researcher dreams about being a pioneer in a subject one day, by discovering a topic that hasn’t been approached before by any other scientist. This is a research gap.

Research gaps are particularly useful for the advance of science, in general. Finding a research gap and having the means to develop a complete and sustained study on it can be very rewarding for the scientist (or team of scientists), not to mention how its new findings can positively impact our whole society.

How to Find a Gap in Research

How many times have you felt that you have finally formulated THAT new and exciting question, only to find out later that it had been addressed before? Probably more times than you can count.

There are some steps you can take to help identify research gaps, since it is impossible to go through all the information and research available nowadays:

• Select a topic or question that motivates you: Research can take a long time and surely a large amount of physical, intellectual and emotional effort, therefore choose a topic that can keep you motivated throughout the process.
• Find keywords and related terms to your selected topic: Besides synthesizing the topic to its essential core, this will help you in the next step.
• Use the identified keywords to search literature: From your findings in the above step, identify relevant publications and cited literature in those publications.
• Look for topics or issues that are missing or not addressed within (or related to) your main topic.
• Read systematic reviews: These documents plunge deeply into scholarly literature and identify trends and paradigm shifts in fields of study. Sometimes they reveal areas or topics that need more attention from researchers and scientists.

Keeping track of all the new literature being published every day is an impossible mission. Remember that there is technology to make your daily tasks easier, and reviewing literature can be one of them. Some online databases offer up-to-date publication lists with quite effective search features:

• Elsevier’s Scope
• Google Scholar

Of course, these tools may be more or less effective depending on knowledge fields. There might be even better ones for your specific topic of research; you can learn about them from more experienced colleagues or mentors.

Find out how FINER research framework can help you formulate your research question.

Literature Gap

The expression “literature gap” is used with the same intention as “research gap.” When there is a gap in the research itself, there will also naturally be a gap in the literature. Nevertheless, it is important to stress out the importance of language or text formulations that can help identify a research/literature gap or, on the other hand, making clear that a research gap is being addressed.

When looking for research gaps across publications you may have noticed sentences like:

…has/have not been… (studied/reported/elucidated) …is required/needed… …the key question is/remains… …it is important to address…

These expressions often indicate gaps; issues or topics related to the main question that still hasn’t been subject to a scientific study. Therefore, it is important to take notice of them: who knows if one of these sentences is hiding your way to fame.

Language Editing Services by Elsevier Author Services:

Systematic Review VS Meta-Analysis

Literature Review in Research Writing

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Home » Research Summary – Structure, Examples and Writing Guide

Research Summary – Structure, Examples and Writing Guide

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Research Summary

Definition:

A research summary is a brief and concise overview of a research project or study that highlights its key findings, main points, and conclusions. It typically includes a description of the research problem, the research methods used, the results obtained, and the implications or significance of the findings. It is often used as a tool to quickly communicate the main findings of a study to other researchers, stakeholders, or decision-makers.

Structure of Research Summary

The Structure of a Research Summary typically include:

• Introduction : This section provides a brief background of the research problem or question, explains the purpose of the study, and outlines the research objectives.
• Methodology : This section explains the research design, methods, and procedures used to conduct the study. It describes the sample size, data collection methods, and data analysis techniques.
• Results : This section presents the main findings of the study, including statistical analysis if applicable. It may include tables, charts, or graphs to visually represent the data.
• Discussion : This section interprets the results and explains their implications. It discusses the significance of the findings, compares them to previous research, and identifies any limitations or future directions for research.
• Conclusion : This section summarizes the main points of the research and provides a conclusion based on the findings. It may also suggest implications for future research or practical applications of the results.
• References : This section lists the sources cited in the research summary, following the appropriate citation style.

How to Write Research Summary

Here are the steps you can follow to write a research summary:

• Read the research article or study thoroughly: To write a summary, you must understand the research article or study you are summarizing. Therefore, read the article or study carefully to understand its purpose, research design, methodology, results, and conclusions.
• Identify the main points : Once you have read the research article or study, identify the main points, key findings, and research question. You can highlight or take notes of the essential points and findings to use as a reference when writing your summary.
• Write the introduction: Start your summary by introducing the research problem, research question, and purpose of the study. Briefly explain why the research is important and its significance.
• Summarize the methodology : In this section, summarize the research design, methods, and procedures used to conduct the study. Explain the sample size, data collection methods, and data analysis techniques.
• Present the results: Summarize the main findings of the study. Use tables, charts, or graphs to visually represent the data if necessary.
• Interpret the results: In this section, interpret the results and explain their implications. Discuss the significance of the findings, compare them to previous research, and identify any limitations or future directions for research.
• Conclude the summary : Summarize the main points of the research and provide a conclusion based on the findings. Suggest implications for future research or practical applications of the results.
• Revise and edit : Once you have written the summary, revise and edit it to ensure that it is clear, concise, and free of errors. Make sure that your summary accurately represents the research article or study.
• Add references: Include a list of references cited in the research summary, following the appropriate citation style.

Example of Research Summary

Here is an example of a research summary:

Title: The Effects of Yoga on Mental Health: A Meta-Analysis

Introduction: This meta-analysis examines the effects of yoga on mental health. The study aimed to investigate whether yoga practice can improve mental health outcomes such as anxiety, depression, stress, and quality of life.

Methodology : The study analyzed data from 14 randomized controlled trials that investigated the effects of yoga on mental health outcomes. The sample included a total of 862 participants. The yoga interventions varied in length and frequency, ranging from four to twelve weeks, with sessions lasting from 45 to 90 minutes.

Results : The meta-analysis found that yoga practice significantly improved mental health outcomes. Participants who practiced yoga showed a significant reduction in anxiety and depression symptoms, as well as stress levels. Quality of life also improved in those who practiced yoga.

Discussion : The findings of this study suggest that yoga can be an effective intervention for improving mental health outcomes. The study supports the growing body of evidence that suggests that yoga can have a positive impact on mental health. Limitations of the study include the variability of the yoga interventions, which may affect the generalizability of the findings.

Conclusion : Overall, the findings of this meta-analysis support the use of yoga as an effective intervention for improving mental health outcomes. Further research is needed to determine the optimal length and frequency of yoga interventions for different populations.

References :

• Cramer, H., Lauche, R., Langhorst, J., Dobos, G., & Berger, B. (2013). Yoga for depression: a systematic review and meta-analysis. Depression and anxiety, 30(11), 1068-1083.
• Khalsa, S. B. (2004). Yoga as a therapeutic intervention: a bibliometric analysis of published research studies. Indian journal of physiology and pharmacology, 48(3), 269-285.
• Ross, A., & Thomas, S. (2010). The health benefits of yoga and exercise: a review of comparison studies. The Journal of Alternative and Complementary Medicine, 16(1), 3-12.

Purpose of Research Summary

The purpose of a research summary is to provide a brief overview of a research project or study, including its main points, findings, and conclusions. The summary allows readers to quickly understand the essential aspects of the research without having to read the entire article or study.

Research summaries serve several purposes, including:

• Facilitating comprehension: A research summary allows readers to quickly understand the main points and findings of a research project or study without having to read the entire article or study. This makes it easier for readers to comprehend the research and its significance.
• Communicating research findings: Research summaries are often used to communicate research findings to a wider audience, such as policymakers, practitioners, or the general public. The summary presents the essential aspects of the research in a clear and concise manner, making it easier for non-experts to understand.
• Supporting decision-making: Research summaries can be used to support decision-making processes by providing a summary of the research evidence on a particular topic. This information can be used by policymakers or practitioners to make informed decisions about interventions, programs, or policies.
• Saving time: Research summaries save time for researchers, practitioners, policymakers, and other stakeholders who need to review multiple research studies. Rather than having to read the entire article or study, they can quickly review the summary to determine whether the research is relevant to their needs.

Characteristics of Research Summary

The following are some of the key characteristics of a research summary:

• Concise : A research summary should be brief and to the point, providing a clear and concise overview of the main points of the research.
• Objective : A research summary should be written in an objective tone, presenting the research findings without bias or personal opinion.
• Comprehensive : A research summary should cover all the essential aspects of the research, including the research question, methodology, results, and conclusions.
• Accurate : A research summary should accurately reflect the key findings and conclusions of the research.
• Clear and well-organized: A research summary should be easy to read and understand, with a clear structure and logical flow.
• Relevant : A research summary should focus on the most important and relevant aspects of the research, highlighting the key findings and their implications.
• Audience-specific: A research summary should be tailored to the intended audience, using language and terminology that is appropriate and accessible to the reader.
• Citations : A research summary should include citations to the original research articles or studies, allowing readers to access the full text of the research if desired.

When to write Research Summary

Here are some situations when it may be appropriate to write a research summary:

• Proposal stage: A research summary can be included in a research proposal to provide a brief overview of the research aims, objectives, methodology, and expected outcomes.
• Conference presentation: A research summary can be prepared for a conference presentation to summarize the main findings of a study or research project.
• Journal submission: Many academic journals require authors to submit a research summary along with their research article or study. The summary provides a brief overview of the study’s main points, findings, and conclusions and helps readers quickly understand the research.
• Funding application: A research summary can be included in a funding application to provide a brief summary of the research aims, objectives, and expected outcomes.
• Policy brief: A research summary can be prepared as a policy brief to communicate research findings to policymakers or stakeholders in a concise and accessible manner.

Advantages of Research Summary

Research summaries offer several advantages, including:

• Time-saving: A research summary saves time for readers who need to understand the key findings and conclusions of a research project quickly. Rather than reading the entire research article or study, readers can quickly review the summary to determine whether the research is relevant to their needs.
• Clarity and accessibility: A research summary provides a clear and accessible overview of the research project’s main points, making it easier for readers to understand the research without having to be experts in the field.
• Improved comprehension: A research summary helps readers comprehend the research by providing a brief and focused overview of the key findings and conclusions, making it easier to understand the research and its significance.
• Enhanced communication: Research summaries can be used to communicate research findings to a wider audience, such as policymakers, practitioners, or the general public, in a concise and accessible manner.
• Facilitated decision-making: Research summaries can support decision-making processes by providing a summary of the research evidence on a particular topic. Policymakers or practitioners can use this information to make informed decisions about interventions, programs, or policies.
• Increased dissemination: Research summaries can be easily shared and disseminated, allowing research findings to reach a wider audience.

Limitations of Research Summary

Limitations of the Research Summary are as follows:

• Limited scope: Research summaries provide a brief overview of the research project’s main points, findings, and conclusions, which can be limiting. They may not include all the details, nuances, and complexities of the research that readers may need to fully understand the study’s implications.
• Risk of oversimplification: Research summaries can be oversimplified, reducing the complexity of the research and potentially distorting the findings or conclusions.
• Lack of context: Research summaries may not provide sufficient context to fully understand the research findings, such as the research background, methodology, or limitations. This may lead to misunderstandings or misinterpretations of the research.
• Possible bias: Research summaries may be biased if they selectively emphasize certain findings or conclusions over others, potentially distorting the overall picture of the research.
• Format limitations: Research summaries may be constrained by the format or length requirements, making it challenging to fully convey the research’s main points, findings, and conclusions.
• Accessibility: Research summaries may not be accessible to all readers, particularly those with limited literacy skills, visual impairments, or language barriers.

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• Volume 24, Issue 2
• Five tips for developing useful literature summary tables for writing review articles
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• http://orcid.org/0000-0003-0157-5319 Ahtisham Younas 1 , 2 ,
• http://orcid.org/0000-0002-7839-8130 Parveen Ali 3 , 4
• 1 Memorial University of Newfoundland , St John's , Newfoundland , Canada
• 2 Swat College of Nursing , Pakistan
• 3 School of Nursing and Midwifery , University of Sheffield , Sheffield , South Yorkshire , UK
• 4 Sheffield University Interpersonal Violence Research Group , Sheffield University , Sheffield , UK
• Correspondence to Ahtisham Younas, Memorial University of Newfoundland, St John's, NL A1C 5C4, Canada; ay6133{at}mun.ca

https://doi.org/10.1136/ebnurs-2021-103417

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Introduction

Literature reviews offer a critical synthesis of empirical and theoretical literature to assess the strength of evidence, develop guidelines for practice and policymaking, and identify areas for future research. 1 It is often essential and usually the first task in any research endeavour, particularly in masters or doctoral level education. For effective data extraction and rigorous synthesis in reviews, the use of literature summary tables is of utmost importance. A literature summary table provides a synopsis of an included article. It succinctly presents its purpose, methods, findings and other relevant information pertinent to the review. The aim of developing these literature summary tables is to provide the reader with the information at one glance. Since there are multiple types of reviews (eg, systematic, integrative, scoping, critical and mixed methods) with distinct purposes and techniques, 2 there could be various approaches for developing literature summary tables making it a complex task specialty for the novice researchers or reviewers. Here, we offer five tips for authors of the review articles, relevant to all types of reviews, for creating useful and relevant literature summary tables. We also provide examples from our published reviews to illustrate how useful literature summary tables can be developed and what sort of information should be provided.

Tip 1: provide detailed information about frameworks and methods

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Tabular literature summaries from a scoping review. Source: Rasheed et al . 3

The provision of information about conceptual and theoretical frameworks and methods is useful for several reasons. First, in quantitative (reviews synthesising the results of quantitative studies) and mixed reviews (reviews synthesising the results of both qualitative and quantitative studies to address a mixed review question), it allows the readers to assess the congruence of the core findings and methods with the adapted framework and tested assumptions. In qualitative reviews (reviews synthesising results of qualitative studies), this information is beneficial for readers to recognise the underlying philosophical and paradigmatic stance of the authors of the included articles. For example, imagine the authors of an article, included in a review, used phenomenological inquiry for their research. In that case, the review authors and the readers of the review need to know what kind of (transcendental or hermeneutic) philosophical stance guided the inquiry. Review authors should, therefore, include the philosophical stance in their literature summary for the particular article. Second, information about frameworks and methods enables review authors and readers to judge the quality of the research, which allows for discerning the strengths and limitations of the article. For example, if authors of an included article intended to develop a new scale and test its psychometric properties. To achieve this aim, they used a convenience sample of 150 participants and performed exploratory (EFA) and confirmatory factor analysis (CFA) on the same sample. Such an approach would indicate a flawed methodology because EFA and CFA should not be conducted on the same sample. The review authors must include this information in their summary table. Omitting this information from a summary could lead to the inclusion of a flawed article in the review, thereby jeopardising the review’s rigour.

Tip 2: include strengths and limitations for each article

Critical appraisal of individual articles included in a review is crucial for increasing the rigour of the review. Despite using various templates for critical appraisal, authors often do not provide detailed information about each reviewed article’s strengths and limitations. Merely noting the quality score based on standardised critical appraisal templates is not adequate because the readers should be able to identify the reasons for assigning a weak or moderate rating. Many recent critical appraisal checklists (eg, Mixed Methods Appraisal Tool) discourage review authors from assigning a quality score and recommend noting the main strengths and limitations of included studies. It is also vital that methodological and conceptual limitations and strengths of the articles included in the review are provided because not all review articles include empirical research papers. Rather some review synthesises the theoretical aspects of articles. Providing information about conceptual limitations is also important for readers to judge the quality of foundations of the research. For example, if you included a mixed-methods study in the review, reporting the methodological and conceptual limitations about ‘integration’ is critical for evaluating the study’s strength. Suppose the authors only collected qualitative and quantitative data and did not state the intent and timing of integration. In that case, the strength of the study is weak. Integration only occurred at the levels of data collection. However, integration may not have occurred at the analysis, interpretation and reporting levels.

Tip 3: write conceptual contribution of each reviewed article

While reading and evaluating review papers, we have observed that many review authors only provide core results of the article included in a review and do not explain the conceptual contribution offered by the included article. We refer to conceptual contribution as a description of how the article’s key results contribute towards the development of potential codes, themes or subthemes, or emerging patterns that are reported as the review findings. For example, the authors of a review article noted that one of the research articles included in their review demonstrated the usefulness of case studies and reflective logs as strategies for fostering compassion in nursing students. The conceptual contribution of this research article could be that experiential learning is one way to teach compassion to nursing students, as supported by case studies and reflective logs. This conceptual contribution of the article should be mentioned in the literature summary table. Delineating each reviewed article’s conceptual contribution is particularly beneficial in qualitative reviews, mixed-methods reviews, and critical reviews that often focus on developing models and describing or explaining various phenomena. Figure 2 offers an example of a literature summary table. 4

Tabular literature summaries from a critical review. Source: Younas and Maddigan. 4

Tip 4: compose potential themes from each article during summary writing

While developing literature summary tables, many authors use themes or subthemes reported in the given articles as the key results of their own review. Such an approach prevents the review authors from understanding the article’s conceptual contribution, developing rigorous synthesis and drawing reasonable interpretations of results from an individual article. Ultimately, it affects the generation of novel review findings. For example, one of the articles about women’s healthcare-seeking behaviours in developing countries reported a theme ‘social-cultural determinants of health as precursors of delays’. Instead of using this theme as one of the review findings, the reviewers should read and interpret beyond the given description in an article, compare and contrast themes, findings from one article with findings and themes from another article to find similarities and differences and to understand and explain bigger picture for their readers. Therefore, while developing literature summary tables, think twice before using the predeveloped themes. Including your themes in the summary tables (see figure 1 ) demonstrates to the readers that a robust method of data extraction and synthesis has been followed.

Tip 5: create your personalised template for literature summaries

Often templates are available for data extraction and development of literature summary tables. The available templates may be in the form of a table, chart or a structured framework that extracts some essential information about every article. The commonly used information may include authors, purpose, methods, key results and quality scores. While extracting all relevant information is important, such templates should be tailored to meet the needs of the individuals’ review. For example, for a review about the effectiveness of healthcare interventions, a literature summary table must include information about the intervention, its type, content timing, duration, setting, effectiveness, negative consequences, and receivers and implementers’ experiences of its usage. Similarly, literature summary tables for articles included in a meta-synthesis must include information about the participants’ characteristics, research context and conceptual contribution of each reviewed article so as to help the reader make an informed decision about the usefulness or lack of usefulness of the individual article in the review and the whole review.

In conclusion, narrative or systematic reviews are almost always conducted as a part of any educational project (thesis or dissertation) or academic or clinical research. Literature reviews are the foundation of research on a given topic. Robust and high-quality reviews play an instrumental role in guiding research, practice and policymaking. However, the quality of reviews is also contingent on rigorous data extraction and synthesis, which require developing literature summaries. We have outlined five tips that could enhance the quality of the data extraction and synthesis process by developing useful literature summaries.

• Aromataris E ,
• Rasheed SP ,

Twitter @Ahtisham04, @parveenazamali

Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

Competing interests None declared.

Patient consent for publication Not required.

Provenance and peer review Not commissioned; externally peer reviewed.

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What Is The Difference Between Literature Review And Research Gap?

Students entering a graduate program often encounter a new type of assignment that differs from the papers they had to write in high school or as college undergraduates – the literature review (Knoph, 2006). The research method has two separate parts: a review of the literature and a research gap. Despite being closely related, they have unique qualities and separate functions. The fundamental distinctions between a literature review and a research gap are summarized as follows:

What Is Literature Review?

A literature review is a thorough and critical evaluation of the current scholarly literature, including books, papers, journals, and other pertinent materials on a particular study topic. It entails methodically looking through, picking out, and assessing literature to give a thorough summary of the state of knowledge today. A literature review’s primary objective is to compile, analyse, and synthesize the knowledge already known about the subject.

A literature review performs the following crucial roles in research:

• Synthesize and summarize findings: In a literature review, the key conclusions, hypotheses, and points of view from numerous sources are synthesized and summarized. For that researchers seek help from best dissertation writing services . It highlights the major themes, ideas, and contentions in the literature while arranging the information clearly and ordered way.
• Identify research methodology: A literature review can help researchers decide which research methods and approaches will be most effective for their particular study by looking at the methodologies employed in past studies.
• Validate research findings: By contrasting their own findings with prior research, researchers employ a literature review to validate their own findings. This makes it easier to demonstrate the originality and importance of their research contributions.

What Is Research Gap?

An area or facet of knowledge within a study topic that has not been sufficiently examined, addressed, or comprehended is referred to as a research gap. It stands for lack of knowledge or a lack of comprehension of a specific issue, issue, or question. Finding a research gap example is a crucial phase in the research process since it enables researchers to spot possibilities for fresh studies and advances knowledge in their sector.

There are many ways that research gaps can appear:

• Incomplete or conflicting results: When existing studies show conflicting or inconclusive data, it suggests a knowledge gap or the need for additional studies to clarify the disparities.
• Unresolved research topics: It indicates a research gap when certain issues or concerns within a field of study have not been sufficiently addressed by earlier research. These unsolved queries can be a result of research gaps or recent advances in the subject.
• A changing research environment: As research disciplines develop, knowledge gaps may be caused by new discoveries, developing technology, or shifting social needs. These gaps show areas where current knowledge and research methods have not kept up with recent developments or new problems.

A rigorous and critical study of the available literature is necessary to pinpoint a research gap. To comprehend the level of knowledge in their subject today, researchers must study pertinent studies, hypotheses, and empirical data. What is research gap? Researchers can find places where information is incomplete, conflicting, or constrained by critically analysing the literature.

Researchers can create research questions, hypotheses, or objectives that precisely address a research gap once it has been recognized. They can create studies, make new hypotheses, or create procedures to close the knowledge gap and offer fresh perspectives or actual proof. By filling a research gap example, one might potentially influence practice, policy, and future research projects in addition to advancing knowledge and understanding in the field.

Key Literary Contrasts Gap Between Review And Research

Definition:.

A literature review is a thorough and critical evaluation of the current scholarly writings, books, articles, and other pertinent materials on a particular study topic. It seeks to compile, assess, and synthesize the body of knowledge and research in the area.

A region or component of knowledge within a study topic that has not been sufficiently examined, addressed, or comprehended is referred to as an “Example of research gap.” It stands for lack of knowledge or a lack of comprehension of a specific issue, issue, or question.

A literature review’s goal is to give a thorough assessment of the body of knowledge already written about a particular subject. Some Universal technical institute use it in locating the gaps in the body of existing literature as well as the current state of knowledge, theoretical frameworks, techniques, and discoveries. It provides the framework for the research study and directs the formation of the research questions, hypotheses, and goals.

The goal of establishing a research gap is to draw attention to areas that still require more research or where there are knowledge gaps. It offers an opportunity for scholars to add fresh viewpoints, theories, approaches, or empirical data to fill the knowledge gap and progress in the area.

Focus and Scope

A literature review includes a wide range of published resources connected to a particular study topic. It explores numerous viewpoints, theories, empirical research, and approaches in the area, trying to provide readers with a thorough overview of the topic’s history and situation at the time.

Research gap meaning is a particular issue or query inside a larger research topic that hasn’t been sufficiently covered or investigated in the literature. As it indicates a particular area of research where more research is necessary, it has a more focused scope than a literature review.

Methodology:

A systematic search and selection of pertinent sources are part of a literature review, which also includes a critical assessment and synthesis of the results. It necessitates a careful analysis of the body of prior literature, the selection of important themes, concepts, and arguments, and a systematic presentation of the resulting material.

Finding a research gap requires reflection and iteration frequently. That’s one of the reasons people search for write my assignment online . It necessitates a thorough comprehension of the body of material already in existence as well as the capacity to spot knowledge gaps or inconsistencies. To find and validate research gaps, researchers frequently rely on their knowledge, critical thinking, and contact with the research community.

Final Result and Contribution:

A literature review produces a thorough summary and synthesis of the body of knowledge already available on a particular study topic. It aids in the creation of research questions, the formulation of hypotheses, and the selection of the most relevant approach. By summarizing, analysing, and assessing earlier research, it also adds to the corpus of information already in existence.

Finding a research gap results in the identification of a certain region of the research field that needs additional study. You can get help from some cheap assignment services as well. Researchers can create studies, put out new theories, or create approaches to tackle unanswered problems by bringing attention to this gap. In the end, closing a research gap advances our knowledge and comprehension of the subject.

Range of the Investigation

To provide a thorough grasp of the level of knowledge already available on a study topic, a literature review reviews and analyses a wide range of existing scholarly publications, books, articles, and other pertinent sources.

Within a larger study topic, a research gap focuses on a particular area or question that has not been sufficiently addressed or investigated. It focuses on a more specific topic or area of knowledge that needs more research.

Time Direction:

An emphasis is placed on the background and current body of knowledge in the field in a literature review. Did you bridge the gap in your study? Don’t worry. It gives a summary of earlier studies while noting how concepts and hypotheses have changed through time.

A research gap anticipates potential areas of future study. It points out areas that require more research to address open-ended questions or knowledge gaps.

Detail Level:

A literature review examines numerous facets of the body of written material in great depth. It analyses and summarizes the information from various studies’ methodologies, content, and conclusions to give readers a thorough overview of the research environment.

A research gap is frequently briefly and concisely defined.  But still there are students who ask experts that is there any assignment help for me ? It points to a particular subject or research question that needs more investigation, but it doesn’t provide detailed analysis or synthesis of previous research.

A Part of the Research Design

Research Questions, Hypotheses, and Objectives are formulated with the help of a literature review. By highlighting gaps, offering theoretical frameworks, and recommending acceptable procedures based on the body of current knowledge, it contributes to the research design.

A research gap affects the choice of the study’s goals and research questions. It draws attention to places where new information can be created and instructs researchers to concentrate on filling the gap that has been found.

What Is Research Gap Example

A specific topic or component of knowledge within a research field that has not been sufficiently studied is referred to as a research gap. For instance, a research gap in the realm of renewable energy could be the incomplete knowledge of the environmental effects of a recently created solar panel technology. Even though solar energy has been extensively studied, there may not be enough research on the possible long-term impacts of this particular technology on ecosystems or its scalability. It is one of the Research gap meaning and examples. This knowledge gap calls attention to the need for more study to close it and provide information to help with technology adoption and implementation decisions.

A research gap in the field of healthcare may concern the efficacy of a specific treatment for a particular medical problem. Take the lack of research on non-pharmacological methods for the treatment of chronic pain as research gap meaning. There may be little data on the long-term usefulness of alternative therapies like acupuncture or mindfulness-based programs, despite the large number of studies on pharmacological treatments.

The use of technology in classroom settings may be an area of research need in the subject of education. For instance, Research gap example in research paper; there may be a study vacuum in the knowledge of how virtual reality (VR) technology affects student involvement and academic results. Although studies on the use of VR in education may exist, it’s possible that there aren’t many studies examining the technology’s efficacy across a range of subjects, grade levels, and student groups.

Many students have trouble writing dissertations and ultimately decide to drop out of school. Due to not understanding the basic differences. A research gap and a review of the literature serve different functions in the research process. An extensive overview of the theories, discoveries, and body of knowledge in a field of study is provided by a literature review. A research gap, on the other hand, denotes a particular subject or query inside the larger issue that has not been thoroughly examined. Finding a research gap aids researchers in seeing chances for fresh inquiries and advances knowledge in their area of study.

What is meant by research gap?

Research gap refers to a missing or insufficiently explored area in existing knowledge within a research field. A research gap is the absence of information or understanding about a specific topic or question, highlighting the need for further investigation.

How do you write a research gap example?

To write a research gap example, identify a specific area within a research field where existing knowledge is lacking or insufficiently explored.

How do you identify a gap in research?

To identify a research gap, examine existing literature and identify areas where knowledge is lacking or insufficiently addressed.

Why is research gap important?

Research gaps are important because they highlight areas where knowledge is lacking or incomplete. By identifying and addressing these gaps, researchers can advance knowledge, guide research direction, and improve the relevance and impact of their studies.

How do you identify a research gap?

To identify a research gap, analyze existing literature for areas where knowledge is lacking or insufficient.

What is the difference between research gap and limitations?

Research gap identifies areas where knowledge is lacking or insufficient, while limitations refer to constraints or shortcomings within a specific research study.

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What is a Research Gap and How to Identify it?

This lecture will briefly discuss the meaning, nature, and dynamics of a research gap. In particular, it will address the following questions:

1) What is a research gap ?

2) What is the importance of identifying the research gap?

3) How to identify a research gap?

In addressing these three important questions, this lecture will give more weight on the third question. This is because many fledgling scholars and master’s and doctoral students struggled in identifying the gap in their research, thesis, or dissertation. Hence, it is the goal of this lecture to spare them the unnecessary burden of circling the mountain several times before getting to the top.

So, what is a research gap?

Understood more broadly, a research gap is the problem that researchers would want to see addressed in the research. As the name suggests, it is the gap that researchers fill with their proposed research project.

Hence, a research gap is “what is missing” or “what is not addressed” in the current state of knowledge. Put simply, a research gap is the question or problem that has not been answered in your area of specialization. For this reason, the research gap establishes “the need” or the “importance, urgency, and necessity” of your proposed research project, thesis, or dissertation.

This explains why all types of research always begin with a research gap. Indeed, no research activity is possible without the research gap.

Please note that this is what experienced reviewers or thesis/dissertation panel members are looking for during thesis or dissertation proposal defense. Thus, if your proposed thesis or dissertation does not have or does not clearly articulate the research gap, then chances are your thesis or dissertation proposal will be rejected and you have to do your research again from scratch.

This is the problem with many master’s and doctoral students when they write their thesis or dissertation. In most cases, because they are inexperienced researchers and, sometimes, they do not consult their thesis/dissertation adviser regularly, they simply start with a research aim and thought that it’s already the research gap. But the research gap is not the same with the research aim. And in some cases, master’s and doctoral students just copied or patterned their thesis or dissertation on previous researches.

Let us consider the example below.

Supposed the working title of the thesis/dissertation proposal is “Imposed Career Study among University Students in Hong Kong”. With this title, we can have the following research aim:

“The proposed research aims to determine the lived experiences of those students who were just forced to take a certain career course according to the wishes of their parents or significant others and how it affects the psycho-emotional and social wellbeing of these students.”

Again, many master’s and doctoral students thought that the aim is already the problem or the research gap of the proposed research project. But as already mentioned, it is not.

So, what could possibly be the research gap of the above proposed research project?

Based on the above research aim, we can have, for example, the idea:

“The researcher may have learned from experience or through literature review that there are university students in Hong Kong who were just forced to take certain career course according to the wishes of their parents or significant others and that these students were devastated and became rebellious in schools. For this reason, these students may become social delinquents in the future. Now, based on the researcher’s initial review of related literature, it was found out that no study has been conducted on the topic.”

As we can see, the problem is that there are university students in Hong Kong who were just forced to take a certain career course according to the wishes of their parents or significant others. As a result of being just forced to take a certain career course, these students have become devastated and rebellious, which in turn will make them as social delinquents in the future. Also, there has been no study conducted on this topic in Hong Kong. This is exactly what we meant by a “research gap”. This is “what is missing” or “what has not been addressed” in the current state of knowledge in this field. And with this research gap, we can now formulate the research aims, which reads:

If one may ask why the need for this study, then the researcher may add:

“The researcher argues that there is a need to determine the lived experiences of these students so that we can create a career decision-making program as an alternative in addressing the problem.”

As we can see, identifying the research gap and articulating it in the “background” or “rationale” of the study is important not only because it will spare the researcher the unnecessary toil of making major revision, but also because it will make the research publishable. For sure, if the researcher clearly identifies the research gap and articulates it in the background of the study, the reviewers or thesis defense panel members will be able to conclude right away that the proposed research project is unique and original because it is not a duplication of what have been done in the past. This will also send a message to the reviewers or thesis defense panel members that the researcher has deep knowledge of the topic under investigation. As is well known, finding original and innovative topics in the chosen field as well as identifying and articulating the research gap is never an easy feat.

Now that we have briefly discussed the nature and meaning of a research gap and its importance, the next question is how do we identify the research gap?

For experienced researchers, because they already have broad and deep knowledge on their chosen field of specialization, they can easily identify a research gap. However, for fledgling scholars as well as master’s and doctoral students, as already mentioned, identifying a research gap is never an easy feat. But the application of some proven techniques will somehow help ease the process. 

Let me briefly discuss the three important techniques in identifying a research gap. 

Of course, there are a number of techniques on how to identify a research gap, but the three points introduced below are the most effective ones. 

First, when thinking of a topic in your field of specialization, it would greatly help if you start with something that you are passionate about, something that would seem like second skin to you. 

For some obvious reason, being passionate at something makes you push yourself harder, and despite working long hours on it, you will still manage to smile. In fact, if you love what you are doing, then long and hard labor is turned into “play”. Hence, despite the hardships, you keep doing your research because you enjoyed it. 

Of course, starting with something that you are passionate about in relation to identifying a research gap involves “choosing a particular topic” in your discipline or field of specialization. For instance, if your discipline is “education”, then you might be passionate about doing research on “teachers’ burnout level”, “philosophy of education”, “critical pedagogy”, or “lived experiences of teachers handling subjects not in line with their field of specialization”.

If your discipline is psychology, then you might be passionate about doing research on “social cognition”, “social control”, “racism”, “verbal communication”, or even “attraction, romance, and love”.

Second, once you have chosen a topic that you are passionate about, the next step is to “determine the mega trends and recent debates” in your discipline or field of specialization. This is important because once you know the mega trends or recent debates in your discipline or field of specialization, you can easily identify what have and have not been done in your discipline.

Determining the mega trends and recent debates in your discipline is also important because it will ensure that your research is timely and necessary. You have to remember that you do not do research for the sake of doing research, of completing a master’s or doctoral degree. You do research because there is a problem that needs to be addressed. Hence, a particular research is timely if the topic is one of the mega trends and recent debates in the field and it is necessary if it attempts to address a serious problem that requires urgent consideration.

Of course, determining the mega trends and recent debates in your discipline implies doing a literature review. This leads us to the third and last point.

Needless to say, you need to review recent literature in your chosen discipline or field of specialization so you may know what scholars have done so far. In this way, you will be able to identify possible gaps that you can fill in. For example, if your discipline is anthropology and you are passionate about doing research on the indigenous peoples in Southeast Asia, then you need to review literature on indigenous peoples in Southeast Asia in the last, say, 3-5 years.

Now, suppose several famous scholars on indigenous peoples in Southeast Asia have published on “the marginalization” of the Dayak indigenous people in Borneo, then this is precisely one of the mega trends and recent debates in this field of specialization.

Suppose you are interested in joining the discussion or debate on this topic, then you need to identify what have not been done by those scholars. It could be a problem that remains unsolved or a new insight that may help shed light on the issue being debated upon.

How do you do this?

Suppose there are 5 famous scholars working on the topic “the marginalization” of the indigenous peoples in Southeast Asia, particularly the Dayak indigenous people in Borneo. What you need to do now is review these pieces of literature and identify their concepts and arguments. For instance, you may say:

Scholar 1 , in her work titled “Modernism and the Dayak People of Borneo”, says that the Dayak indigenous peoples in Borneo have been pushed further to the periphery by the forces of modernity, such as consumerism. 

Scholar 2 , in his work titled “Militarism in Borneo”, argues that one of the causes of the marginalization of the Dayak people in Borneo is the imposition of militarization in the island. 

Scholar 3 , in her work titled “The Resiliency of the Dayak People”, says that despite the constant presence of social forces that marginalized the Dayak people, the researcher found out that the Dayak people are very resilient. In fact, they have overcome every challenge that they faced and easily returned to their normal life. 

Scholar 4 , in his work titled “Different Faces of Marginalization in Borneo”, says that the Dayak people have been marginalized by different forces of globalization, such as the logging and mining companies. 

Lastly, scholar 5 , in her work titled “Rights, Recognition, and the Dayak People”, narrates not only how the Dayak people have been marginalized by the forces of globalization but also the basic and inalienable rights of the Dayak people.

Now, after reviewing these important pieces of literature about the marginalization of the Dayak people, you realized that no scholar on the Dayak people, so far as you know, has done research on “the way in which the Dayak people resisted any forms of marginalization”. 

As you can see, this issue is one of the important topics on the debate about the marginalization of the Dayak people in Borneo, yet no scholar has brought this issue on the table. Hence, this could be a possible “gap” in this area of specialization that you can fill in with your research on the way in which the Dayak people resisted any forms of marginalization. 

With this “research gap”, you may work, for example, on “the Dayak people’s struggle for recognition of their rights to ancestral domain”. Your working title may read:

“ Self-Determination and the Dayak People’s Struggle for Recognition ” 

And your research’s main goal reads: 

“ This proposed thesis aims to explore how the Dayak people in Borneo resisted the forces of globalization that marginalized them .” 

So, that’s what a research gap is and how to identify it.

Please note, however, that what I shared above are just some of the techniques on how to identify a research gap. There are other techniques that might help you in identifying a research gap or you may want to develop your own. What is important at this point is that through the discussion above you have now a basic understanding of what a research gap is and how to identify it. 

And lastly, please note that the principles that we applied in the above discussion on how to identify a research gap can be applied to all disciplines, be they social sciences, humanities, natural sciences, education, engineering, mathematics, or psychology.

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New Kitces Research Study on Advisor Productivity

This is part of our bi-annual Kitces Research series, where we explore factors that are associated with advisor productivity, with particular emphasis on the following four domains: how advisors spend their time, the process that they follow, the tools that they use, and how they go about pricing their services.

Take part in the 2024 Kitces Research survey on financial advisor productivity today! 

Why Service Advisors Who Obtain CFP Marks Are Making More Money For Themselves And Their Firms

September 9, 2024 07:01 am 0 Comments CATEGORY: Practice Management

Executive Summary

While the share of advisors with the CFP marks has risen steadily over time, today, about 2/3 of financial advisors are not CFP professionals. This means that, for most advisors, the decision to obtain this designation remains an open one. A crucial factor in an advisor's decision to prepare for the CFP exam – often requiring them to sacrifice evenings and weekends to complete the requisite coursework (which can take more than a year), and spending many thousands of dollars – is whether they will actually earn more as a result of doing so.

According to the 2022 Kitces Research Study on Advisor Productivity, CFP professionals take home more money per hour worked than non-CFP professionals, with this gap being substantially larger for service advisors than senior advisors. The typical service advisor without CFP certification earns $48.83 for every hour that they work, compared to $86.30 for service advisors with the CFP marks – a difference of $37.47, or a whopping 77% boost in income per hour! The typical senior advisor without the CFP marks earns $112.47/hour, compared to $120.00 for CFP professionals, a far more modest difference of only $7.53.

In this article, Michael Kitces and Mark Tenenbaum (Director of Advisor Research) explain this disparity in earnings per hour – dubbed the "CFP Productivity Gap" – and how it appears to be driven by explanations stemming from both the skills that CFP practitioners develop and deliver (supply-side explanations), and the preferences of clients – especially more affluent clients – when selecting an advisor to work with (demand-side explanations).

Specifically, service advisors with the CFP marks appear to spend more time on key revenue-generating activities such as meeting with clients and prospects and generating financial plans, and that these hours are put to good use because those CFP professionals both offer financial plans that are more comprehensive and update clients' financial plans more frequently than non-CFP professionals. As a result, teams with service advisors who hold the CFP marks tend to attract significantly more affluent clients than teams with non-CFP certificants, with a median client AUM of $1,000,000 AUM versus $250,000 AUM, respectively.

These wealthier clients also tend to pay substantially higher fees, which has a key implication for firms looking to attract and retain affluent clients: hire CFP professionals or help existing employees who have yet to earn their CFP marks obtain them. The knowledge obtained through CFP certification can forge a more planning-centric practice, offering financial plans that are more comprehensive and updated more frequently – which are clear value-adds for high-net-worth households who often have complex planning needs. Crucially, the research shows how the cost of employing CFP professionals (who command higher salaries than their counterparts without the CFP marks) is substantially lower than the revenue firms generate by employing them.

The CFP Productivity Gap also has profound ramifications for the income growth of service advisors throughout their careers. While senior advisors tend to see income growth over time regardless of their CFP certification, non-CFP professionals fall farther and farther behind their counterparts who are CFP practitioners over the course of their careers. Indeed, for service advisors, the CFP Productivity Gap grows from an earnings difference of $8/hour for those with less than 8 years of industry experience to over $50/hour (which adds up to $100,000+/year in greater earning potential) for those in business for 20 or more years. Hence, CFP certification appears to be a crucial vehicle by which service advisors can experience continued income growth over time without stalling out.

The key point is that service advisors earn substantially more by obtaining the CFP marks and firms are likely to benefit from supporting them in doing so. This helps the firm expand its teams of service advisors who can take on and support the firm's most high-dollar clientele. Which, in turn, frees up the capacity of senior advisors to continue to bring in clients and grow the firm further!

Mark Tenenbaum

Mark Tenenbaum is the Director of Research at Kitces.com, where he leads the production of the site’s recurring research studies on advisor technology, productivity, well-being, and marketing. He also contributes to the blog on these topics. With a background as both a financial planner and a quantitative researcher, Mark is dedicated to creating nerdy, data-driven content that supports Kitces.com’s mission of making financial advicers better and more successful.

Michael Kitces

Michael Kitces is Head of Planning Strategy at Buckingham Strategic Wealth , which provides an evidence-based approach to private wealth management for near- and current retirees, and Buckingham Strategic Partners , a turnkey wealth management services provider supporting thousands of independent financial advisors through the scaling phase of growth.

In addition, he is a co-founder of the XY Planning Network , AdvicePay , fpPathfinder , and New Planner Recruiting , the former Practitioner Editor of the Journal of Financial Planning, the host of the Financial Advisor Success podcast, and the publisher of the popular financial planning industry blog Nerd’s Eye View through his website Kitces.com , dedicated to advancing knowledge in financial planning. In 2010, Michael was recognized with one of the FPA’s “Heart of Financial Planning” awards for his dedication and work in advancing the profession.

Read all of Michael’s articles here .

The Certified Financial Planner (CFP) certification is the dominant financial planning designation across the financial services industry, providing a valuable signal for clients seeking competent and credible professional financial advice . CFP certification was established in 1973 as a voluntary program that financial advisors could pursue to demonstrate their commitment to professional development and, over the years, CFP Board further standardized the qualifications and ethical standards required to obtain the marks, ensuring that all certificants possess an increasingly comprehensive understanding of financial planning.

As the financial services industry has steadily grown more advice-centric , so has the share of advisors who have obtained their CFP marks. Indeed, the share of financial advisors who are CFP professionals has increased from 1 in 10 25 years ago to 1 in 3 today .

Still, despite this growth, about 2/3 of financial advisors are not CFP professionals. This means that, for most advisors, the decision to obtain this designation remains an open one. A crucial factor in an advisor's decision to study for the CFP exam and enroll in the requisite education courses (which often requires sacrificing evenings and weekends for more than a year, along with many thousands of dollars to pay for tuition) is whether doing so will pay dividends for their career over years to come. Or stated more simply, for many, there is a question of whether the financial benefit of obtaining the CFP marks will be worth their efforts.

The (Positive) Income And Productivity Gaps For CFP Professionals

In theory, putting in the time and energy to earn the CFP marks should be reflected by a higher annual income, whether from working with clients willing to pay CFP professionals higher fees, having the expertise to service a broader range of clients, or simply being better able to get an advisor job (and command raises). Simply put, one of the most straightforward reflections of the 'Return On Investment' of completing the education requirement to earn the CFP marks is whether CFP professionals actually earn more.

According to the results of our 2022 Kitces Research on " How Financial Planners Actually Do Financial Planning ", which evaluated the median annual take-home income between advisors with and without the CFP marks, this really is the case; the typical non-CFP professional advisor took home $188,500, compared to $200,000 for CFP professionals. This means that the typical CFP professional earns $11,500 more each year, nearly twice the initial cost of earning the CFP marks (which typically runs around $6,000 to complete the education requirement for CFP certification , plus a few thousand dollars more for those who choose to take a CFP exam review program as well ).

Of course, this income gap could be explained by something other than CFP status. For example, take-home pay itself is highly correlated with advisors’ years of experience for both CFP and non-CFP professionals – being lower in the early years of their careers and higher in the later years, as shown in the figure below.

Since more experienced advisors have higher incomes, one possible explanation for the income gap between CFP and non-CFP professionals might be that the typical CFP professional has more experience. However, across our research sample, the opposite appears to be true. The typical CFP professional actually has 3 fewer years of financial services industry experience (17 versus 20) and 1 fewer year of client-facing experience (12 versus 13) than the typical non-CFP professional. These differences in experience are likely attributable to new entrants to the industry facing more pressure than earlier generations of advisors to obtain the CFP designation (and other designations). Therefore, the income gap between CFP and non-CFP professionals does not appear to be attributable to the former group having more experience, because, in fact, they actually tend to have less!

While the figures discussed so far suggest a modest income gap between CFP professionals and non-CFP professionals, further segmenting the data reveals that the size of this income gap varies dramatically based on advisors’ roles.

That is, differences in take-home income between advisors with and without the CFP marks vary markedly depending on whether one looks at senior advisors –  responsible for managing the most valued client relationships, mentoring other advisors, and focusing on business development – or service advisors , who primarily focus relationship management and retention of existing clients (but do not have substantive business development expectations). These differences are displayed in the figure below.

While senior advisors consistently earn more than service advisors (given the significant economic rewards that come to those who can successfully do business development to bring in new revenue), the income gap between CFP and non-CFP professionals is dramatically larger for service advisors than for senior advisors. The typical service advisor without the CFP marks takes home $94,500/year whereas those with CFP certification earn $150,000, a difference of $55,500, despite the fact that the typical service advisor who is a CFP certificant has fewer years of client-facing experience (6 years for service advisors with the CFP marks, versus 8 years for those without the marks)!

Conversely, the typical senior advisor without CFP certification takes home $225,000 compared to $229,342 for those with the CFP certification – a difference of only $4,342. Simply put, CFP certification status matters a lot for the income of service advisors, but much less for senior advisors.

Of course, income growth cannot come at all costs. If CFP professionals make more money than non-CFP professionals merely by grinding out longer hours, they would risk simply burning out. However, it turns out that for both senior advisors and service advisors, CFP certificants work fewer hours than those in the same role without the CFP marks – not more.

Among senior advisors, those who are CFP professionals work an average of 1,919 hours/year, compared to 2,031 for non-CFP professionals – a difference of 112 hours, roughly akin to nearly 3 weeks of annual vacation and time off, assuming a 40-hour work week! For service advisors, the typical CFP professional works 1,909 hours/year while the typical non-CFP professional works 1,970 hours, a difference of 61 hours (equivalent to 1.5 weeks of time off).

The key takeaway from this comparison of working hours is simply that the higher take-home pay earned by CFP certificants is not an artifact of grueling work schedules. Instead, CFP professionals appear to be more productive – that is, they earn more income per hour worked, while enjoying more consistent time off.

In turn, when looking at productivity more directly – i.e., take-home income per hour worked – based on CFP certification status and role, as expected, senior advisors earn more per hour than service advisors regardless of whether they've attained the CFP marks. However, within these senior and service advisor roles, CFP professionals are more productive, especially for the latter group. The typical service advisor without CFP certification earns $48.83/hour, compared to $86.30 for service advisors with the CFP marks – a difference of $37.47, or a whopping 77% boost in income per hour! The typical senior advisor without CFP certification earns $112.47/hour, compared to $120.00 for CFP professionals, a far more modest difference of only $7.53 (or a 6.7% boost in income per hour).

In summary, merely observing that CFP professionals earn more than non-CFP professionals hides the fact that the size of this income gap is much larger for service advisors than for senior advisors. For service advisors in particular, the late nights of studying really pay off – amounting to over $50,000/year in additional take-home income! And rather than being the result of working unsustainable hours, this gap in income is because CFP professionals – especially service advisors – are more productive , earning more per hour worked. Or stated more simply, when advisors earn the CFP marks to enhance their knowledge, a "CFP Productivity Gap" emerges because CFP professionals really can subsequently charge more for their expertise and take more time off!

Supply- Vs Demand-Side Explanations For The "CFP Productivity Gap"

Our Kitces Research on Advisor Productivity shows that the CFP marks boost advisor productivity (i.e., income per hours worked), but that the effect is significantly greater for service advisors (who don't have significant business development obligations) than for senior advisors (where the effect is more muted). This raises important questions: why is there a CFP Productivity Gap – and why is this gap larger for service advisors than for senior advisors? Answers can be categorized into 2 camps: supply-side explanations and demand-side explanations.

Supply-side explanations focus on the characteristics and behaviors of the advisors themselves, such as their skill sets and how they allocate their time (e.g., CFP professionals tend to be more productive with their time than non-CFP professionals). Demand-side explanations, on the other hand, are based on clients' preferences, such as those with more investable assets preferring to work with CFP professionals (and/or firms that work with such clientele having a preference to hire CFP professionals to service them).

Of course, these explanations are deeply intertwined; wealthier clients, often with more complex needs, are likely to prefer CFP professionals who typically come with deeper skill sets that enable them to be more productive in delivering client value. Still, these categories offer a useful framework for thinking about different ways in which CFP certification may boost advisor productivity.

Do CFP Professionals' Skill Sets And Time Allocation Boost Productivity?

From the supply-side perspective, a potential reason that CFP professionals, and those who are service advisors in particular, are more productive is simply that they're 'better' at key aspects of their job as financial planners. One way we can measure this is by looking at whether CFP professionals offer more extensive financial planning services than non-CFP professionals; another is by examining whether they dedicate more time to key revenue-generating activities.

CFP Professionals Offer More Extensive Financial Planning Services

One way we can explore whether the CFP Productivity Gap is attributable to CFP certificants offering more extensive financial planning services is by examining rates of planning comprehensiveness –  defined by Kitces Research as offering financial plans that cover 10 or more financial planning domains (e.g., estate planning, college planning, retirement income planning, etc.). Another way is by examining the proportion of advisors' clients who have received new or updated plans within the last 12 months – a metric Kitces Research refers to as planning intensiveness .

Together, planning comprehensiveness and planning intensiveness capture the centrality of planning in advisors' practices: the first indicates the breadth of plans that are created, while the latter indicates the frequency with which these plans are created or modified.

The data from our Kitces Research on Advisor Productivity shows that CFP professionals are more likely to offer comprehensive financial plans than non-CFP professionals regardless of advisors' roles. Approximately 80% of both senior and service advisors with the CFP marks offer comprehensive financial plans, compared to under 70% of those without the CFP marks.

Turning to planning intensiveness, a similar picture emerges. About 57% of clients serviced by CFP professionals have new or updated financial plans in the past 12 months, compared to about half of the clients serviced by non-CFP professionals, and these results are again remarkably consistent regardless of advisors' roles.

Taken together, the fact that more frequent and comprehensive planning is central to the roles of CFP professionals more than for non-CFP professionals offers one supply-side explanation of the CFP Productivity Gap. Simply put, CFP professionals develop more comprehensive plans that they update more frequently and get compensated for doing so.

However, these findings alone do not explain why the CFP Productivity Gap is larger for service advisors than senior advisors – a finding that requires further exploration.

CFP Professionals Spend More Time Meeting with Clients and Actually Doing Financial Planning

Financial planners have many tasks to cover throughout their workdays, from doing planning work for existing clients to getting new clients, handling administrative tasks, managing compliance, seeking professional development, and more. Accordingly, one potential explanation for why CFP professionals are more productive is that they're more consistent at engaging in key revenue-generating activities such as meeting with clients and financial planning (and less time in other tasks less associated with revenue generation).

To explore this, we examine the hours financial advisors dedicate per week to different areas, based on CFP certification status and role. The 7 domains we included in our study are as follows:

• Financial planning;
• Investment management and research;
• Client service and meeting preparation;
• Client and prospect meetings;
• Marketing and business development;
• Management activities; and
• Everything else (e.g., administrative work, compliance, and professional development, among other activities).

For senior advisors, there is little difference in the time CFP professionals dedicate to these 7 domains compared to non-CFP professionals. Both dedicate about 23% of their time to client service and meeting preparation, 7% to management activities, and 17% to "everything else." Senior advisors with the CFP marks do dedicate slightly more time to financial planning (12.6% versus 10.6%), which is partially compensated for by working fewer hours on investment management (11% versus 9.5%) as well as marketing and business development (8.4% versus 7.2%). However, for senior advisors, the key takeaway is that, for the most part, CFP and non-CFP professionals allocate their time similarly across our 7 domains.

For service advisors, however, larger disparities emerge based on CFP certification status. Service advisors with the CFP marks spend more time on financial planning (15.3% versus 12.7%) and meeting with clients and prospectus (21.3% versus 17.1%) – each of which are key revenue-generating activities. They dedicate fewer hours to investment management (9.1% versus 12%), marketing and business development (6.7% versus 8.5%), and "everything else" (16.4% versus 18.6%). Both groups of service advisors work about 28% of their time on client service and 3% of their time on management activities.

In the aggregate, these differences are quite material. When looking at overall hours worked, service advisors with the CFP marks spend 2 additional hours per week in client meetings. 2 hour-long meetings per week adds up to more than 100 additional client meetings per year, which can enable a substantially higher amount of client revenue served (either by working with more clients in more meetings or more sophisticated clients who pay more and demand more service).

Allocation of time, then, offers a possible explanation for why the CFP Productivity Gap is larger for service advisors than for senior advisors. Namely, among service advisors, CFP professionals dedicate more hours per week to key revenue-generating activities – meeting with clients and generating financial plans – than non-CFP professionals, while spending less time on tasks such as marketing, investment management and research, and other miscellaneous tasks.

High Net-Worth Clients Who Pay Higher Fees Prefer CFP Professionals Over Non-CFP Professionals

As the preceding data from our Kitces Research on Advisor Productivity has shown, CFP professionals are offering more extensive financial planning services than non-CFP professionals (as measured by both planning breadth and intensiveness) and, among service advisers, those with their CFP marks are spending more time on key revenue-generating activities (i.e., generating financial plans and meeting with clients and prospects).

We turn now to investigating demand-side explanations – i.e., explanations rooted in the preferences of clients – for the CFP Productivity Gap. Namely, we explore the possibility that CFP professionals are earning more at least in part because of their ability to attract more affluent and complex clients who are willing to pay higher fees in the first place.

One of the most straightforward ways to examine this is simply to evaluate whether CFP professionals' clients have more investable assets than the clients of non-CFP professionals (as a proxy for CFP professionals' ability to attract more affluent and complex clients) and, crucially, whether this gap in clients' investable assets is larger among service advisors than senior advisors.

Kitces Research captures variables such as revenue, client investable assets, and the number of clients at the service-team level. One challenge when displaying typical levels of these variables based on a respondents CFP certification status and role is that, for teams with multiple senior and/or service advisors, segmenting team-level variables would be based on features of the particular team member who happened to complete our survey. Which means that they may not be representative of the team as a whole.

In addition, service advisors are more likely to work in larger teams while many senior advisors in our sample are solo advisors. This risks making comparisons between senior and service advisors that may be distorted by large differences in team size.

To address these concerns, the following analyses restricted samples to those with respondents on service teams containing 1 senior advisor and 1 service advisor. This was not required in earlier analyses because all variables were captured at the individual level.

As the results reflected in the graphic below show, more affluent clients do indeed appear to have a strong preference for CFP professionals over non-CFP professionals! Amongst senior advisors, those with their CFP marks had a median client household of $1,000,000, compared to 'only' $650,000 amongst non-CFP certificants, reflecting a whopping 54% increase in typical client affluence of CFP professional senior advisors.

When it comes to CFP professional service advisors, though, the difference is even more dramatic, with service advisors who have the CFP marks averaging $1,000,000 AUM households, while service advisors without the CFP marks average only $250,000 clients. Given that CFP professionals who are service advisors have the same median AUM client as those who are senior advisors while non-CFP professionals who are service advisors have clients that are half the size of those who are senior advisors, this further suggests that senior advisors who have their CFP marks might be more effectively able to transition their 'average' client to a service advisor to create capacity for themselves, while senior advisors without the CFP marks may be primarily shifting only their smallest clients to their (non-CFP professional) service advisors.

CFP Professionals’ Wealthier Clients Pay Higher Fees

If differences in investable assets between CFP professionals and non-CFP professionals explain the CFP Productivity Gap, it would be because CFP professionals can generate more revenue per client, earning more for each hour they work. And this is precisely what the data suggests. Among teams consisting of 1 service advisor and 1 senior advisor, the typical team with a non-CFP professional service advisor generates $1,278 in revenue per client, compared to $6,667 for teams with a service advisor who has their CFP certification – a difference of $5,389. For these same teams, we see smaller differences in revenue-per-client based on the CFP certification status of the senior advisor.

Teams with a non-CFP professional senior advisor typically generate $5,981 in revenue per client while teams with a senior advisor with the CFP marks typically generate $7,170 – a difference of $1,189. Which implies that the key boost in productivity is not only due to CFP professional senior advisors who can attract slightly higher revenue clients than those who don't have their CFP marks, but that the CFP professional senior advisors are able to delegate such clients to service advisors (who also have their CFP marks) to create team leverage (whereas non-CFP professional service advisors again appear to take on only the smallest of clients, potentially leading to a 'capacity bottleneck' amongst senior advisors).

This, in turn, raises an interesting follow-up question: Do CFP professionals generate more revenue per client merely because they have wealthier clients (i.e., clients with a larger portfolio on which AUM fees are based) or because they also charge higher fee rates in the first place? Indeed, it is mathematically possible for CFP professionals to have lower fee schedules than non-CFP professionals and still earn more revenue per client because they bring home a smaller slice of a much larger pie. Another possibility, however, is that CFP professionals charge more than non-CFP professionals and outearn them in part because they can command higher fees from the same client (e.g., because they offer more services to that client to merit the higher fees).

We explore this by looking at reported AUM fees for various portfolio sizes among firms that generate at least some revenue from AUM fees. Further, because CFP professionals tend to average fewer years of industry experience than non-CFP professionals (as newer advisors are more likely to have their CFP certification because they are growing their practice at a time when the industry places greater emphasis on financial planning and greater value on professionals with CFP certification), we control for this by restricting our sample to advisors with 10 or more years of industry experience.

Among teams consisting of 1 service advisor and 1 senior advisor, there is little difference in advertised fees based on the CFP certification status of the senior advisor other than for the smallest ($250,000) and largest (more than $10,000,000) portfolios. Teams in which the senior advisor has CFP certification charge lower fees than teams whose senior advisor does not have their CFP marks, possibly because these advisors are more likely to be compensated in other ways such as separate financial planning fees and/or by being able to better attract clients with more investable assets.

Across portfolio sizes, AUM fees only vary an average of 4.1 basis points based on the CFP status of senior advisors. By contrast, though, AUM fees vary substantially based on the CFP certification status of service advisors – with this difference amounting to 12.6 basis points.

The implication of these results is that, again, CFP professional service advisors appear more fully capable of taking on the 'typical' client of the senior advisor, while non-CFP professional service advisors not only take on smaller clients but also appear to discount their fees more aggressively to earn or retain those clients.

Taken together, the key point is that teams with service advisors who have their CFP marks earn more revenue per client than teams with service advisors who don't have the CFP marks, not only because they have wealthier clients but also because they are able to command higher fees for their expertise.

The CFP Productivity Gap Widens Over Time – Especially For Service Providers

The fact that CFP professionals are able to attract wealthier clients (who are willing to pay higher fees) suggests that this group has better earnings trajectories over the course of their careers than non-CFP professionals. This is important because, as advisors often tell their clients, consistent average annual compound growth over long periods of time can lead to substantial increases in portfolio values. At a given rate of compound growth, a larger initial portfolio will result in a greater absolute increase in portfolio size over a fixed period.

Which means that when CFP advisors attract more affluent clients with larger portfolios in the first place, as their clients' portfolios grow, so does the absolute size of the asset base from which firms can generate revenue. For advisors charging asset management fees (or recurring commissions based on the size of assets, such as 12b-1 fees), wealthier clients translate into more revenue both now and in the future. Hence, advisors with CFP certification should experience greater income growth over their careers than those without CFP certification.

Further, there is good reason to expect that the gap in income growth between CFP professionals and non-CFP professionals will be larger for service advisors than for senior advisors. This is because while service advisors have much less consistent compensation structures, compensation for senior advisors (whether they have their CFP marks or not) almost universally are based on revenue-based models; the more revenue they generate, the more they earn. While senior advisors who are CFP professionals generally have wealthier clients than those who are non-CFP professionals, the compensation models and income growth trajectories are fundamentally the same: As client headcount increases and portfolios (hopefully) experience steady compound growth, advisors’ income follows suit. The primary limiting factor is typically not the senior advisors’ personal productivity, but their ability to hire and expand their teams and to sustain their business development efforts to keep growing the client base itself.

By contrast, service advisors tend to have an array of different compensation structures. Some are partially compensated by the revenue that they help generate but tend to have lower payouts than senior advisors because they typically do not participate in the profitability of the overall business; they're 'just' paid to service their own client base. Others are entirely compensated through a salary alone for the clients they serve. And while the salaries that service advisors earn are significantly shaped by the service team's revenue (with high-earning practices often able to afford 6-figure salaries), over the long term, receiving a share of a growing revenue base is almost certain to yield more income based on business development skills, while service advisors that are more heavily salary based have financial outcomes more directly dictated by their own productivity and financial planning skill set.

Accordingly, the more time CFP professional service advisors are spending on revenue-generating activities – such as meeting with clients and financial planning – as was shown earlier, the more their income trajectory should outpace non-CFP professional service advisors. And this is precisely what the data suggests when the productivity trajectories of CFP versus non-CFP professionals – for both service advisors and senior advisors – are mapped out over time.

For senior advisors, there is little difference in productivity – as measured by take-home pay per hour worked – between those with CFP marks and those without during their first 7 years in the financial services industry; both groups generate about $48/hour of take-home income. However, the irony is that because of the apparently rising demand for service advisors with CFP certification – who increasingly have access to more stable salaried jobs out of the gate, without needing to build their own client base from scratch – service advisors with their CFP marks actually out-earn senior advisors, both with and without CFP certification (taking home an average of $56.80/hour, which would equate to an annual salary of more than $100,000 with ~2,000 working hours in a year), in addition to beating out service advisors without CFP certification (who earned only $48.50/hour).

On the other hand, part of the reason that senior advisors (with and without their CFP marks) are less productive in the early years is simply that they haven't built their client bases yet … and, as a result, we unsurprisingly find that by the mid-career stage (firms that have been in business between 8–19 years in the business), senior advisors are catching up to service advisors with their CFP marks.

However, service advisors who are CFP professionals themselves also experience a huge lift in productivity as they build their own experience – rising to $98.40/hour of earnings – such that CFP service advisors still stay slightly ahead of non-CFP senior advisors (who earn only $94/hour). And even senior advisors with the CFP marks only slightly surpass service advisors who are also CFP professionals, growing their average take-home earnings to $104/hour. (Given that there are approximately 2,000 working hours in a year, these are roughly akin to $200,000/year in advisor earnings.)

Service advisors without their CFP marks begin to substantially lag in earning potential by their mid-career stages when they are neither building their own client base (as a senior advisor) nor deepening their expertise (by earning CFP certification), taking home only $55.60/hour during this career stage (and not much higher than the $48/hour they were earning in their initial career stage!).

By later career stages, the cumulative investment that senior advisors make into building their own practices really does begin to show up; amongst those with 20 or more years of experience in the financial services industry, both groups (senior advisors with and without CFP certification) begin to substantially out-earn CFP professional service advisors, with CFP professional senior advisors taking home $159/hour, compared to non-CFP professionals who take home $156/hour, and CFP professional service advisors who earn 'just' $125/hour at the same stage.

Notably, because career success at this stage is almost entirely driven by cumulative growth of the senior advisor's client base – which has a natural self-selection bias for those most able to bring in their own clients – there doesn't appear to be a substantive gap between senior advisors who are CFP and non-CFP certificants in the late career stage (as again, the CFP marks don't appear to contribute as much to the particular business development skill set that defines senior advisor success and longevity).

Nonetheless, because senior advisors naturally face capacity constraints as their client bases grow – driving a need to hire service advisors, for which the data is increasingly showing a preference for service provided by CFP professionals – the results do show that for service advisors with 20 or more years of experience, the productivity gap and income benefits of CFP certification are most evident! As noted above, service advisors with CFP certification are taking home an average of $125/hour, a whopping 64% more than service advisors who are not CFP certificants, who take home an average of only $76.40/hour at this career stage; notably, this nearly $50/hour difference, writ large across nearly 2,000 working hours in a year, amounts to a $100,000+ take-home income difference between service advisors who have their CFP marks versus those who don't!

Advisory Firms And Their (Service) Advisors Grow By Investing Into Their CFP Certification

Ultimately, our Kitces Research on Advisor Productivity shows CFP professionals take home more per hour than non-CFP professionals, with this gap being substantially larger for service advisors than for senior advisors ($48.33/hour versus $86.30/hour, respectively). This disparity in earnings per hour – what we have dubbed the CFP Productivity Gap – appears to be driven by explanations stemming from both the skills that CFP professionals develop and deliver (supply-side), and the preferences of clients – especially more affluent clients – when selecting an advisor to work with (demand-side).

Taken together, then, it appears that service advisors really benefit from pursuing the CFP marks, and firms are likely to benefit from supporting them by expanding their teams of service advisors who can take on and support the firm's most high-dollar clientele (in turn freeing up capacity of senior advisors to continue to bring in clients and grow the firm further!).

Career Service Advisors Unlock Significantly More Earning Potential With CFP Certification

While income growth among senior advisors is robust regardless of CFP certification status (there is a modest CFP Productivity Gap for senior advisors with more than 7 years of experience), as outcomes are driven more by business development capabilities than delivering financial planning services, income growth for service advisors appears to be especially driven by CFP certification, for both the training it provides and the preference of more affluent clients to have a financial advisor with CFP certification.

Notably, this does not necessarily mean that earning CFP certification results in an immediate salary raise or boost in clientele; nonetheless, the results show that service advisors with CFP certification see their earnings lift by $41/hour (amounting to more than $80,000/year in additional income potential) from early career (7 or fewer years of experience) to their mid-career stage (8–19 years of experience), compared to a lift of less than $8/hour for those without CFP certification.

Hence, the CFP marks appear to be a crucial vehicle providing service advisors with continued income growth over time. For which the long-term income potential far exceeds the cost of not just the coursework required to meet the educational requirement for CFP certification but also the supporting CFP exam review program .

Firms Looking To Attract, Retain, And Especially Delegate More Affluent Clients Benefit From Hiring CFP Professionals (Or Helping Its Employees Obtain The CFP Marks Themselves)

One demand-side explanation for the CFP Productivity Gap is that teams with CFP professional service advisors have wealthier clients who are willing to pay higher fees. This fact has a key implication for firms looking to attract and retain affluent clients: hire CFP professionals or help existing employees obtain them. The knowledge obtained through CFP certification can be used to forge a more planning-centric practice, offering more comprehensive financial plans that are updated more frequently – each of which are clear value-adds for high-net-worth households who often have complex planning needs.

The Higher Wages Of Service Advisors With CFP Certification Are Offset By Increased Revenue

Our Kitces Research in Advisor Productivity shows that service advisors with CFP certification typically have significantly more affluent clients who pay substantively higher fees compared with those without the CFP marks ($1,000,000 AUM versus $250,000 AUM median clientele, respectively). Which has profound implications for larger advisory firms looking to move upmarket or scale their financial planning services by freeing up capacity from senior advisors (who need to be able to delegate all their clients, not just their smallest "C" clients, to other advisors on the team).

While Kitces Research captures the CFP certification status and income of individual respondents, we also capture revenue at the level of respondents' service teams. Examining differences in service teams' revenue based on CFP certification status of the particular member of the team who happened to complete the survey is problematic because teams vary substantially in their number of advisors, all of whom contribute to firm revenue. Therefore, we restrict our sample to teams containing only 1 service advisor, and contrast levels of revenue based upon their CFP certification status.

Yet, while there appears to be a clear benefit for firms to hire and train CFP professionals, especially in service advisor roles, they must also bear the financial cost of doing so. After all, by definition, service advisors, with their CFP marks, make more than those without CFP certification, and they do so because their firms are paying them more! This raises the question: Does the revenue generated by employing service advisors with CFP certification and/or supporting the firm's existing advisors to get their CFP marks outweigh the costs of employing them at CFP professional salaries (plus the cost of supporting their education itself)?

Our data suggests that the answer is yes.

When a service advisor with CFP certification is the sole service advisor on a service team, they earn a median of $200,000, compared to $109,302 for service advisors without CFP certification, a difference of $90,698. However, teams with a service advisor who is a CFP professional typically generate $500,000 in revenue per full-time advisor, compared to $158,083 for teams with a service advisor without the CFP marks – a difference of $341,917 in revenue per advisor. This means that the typical firm with a single service advisor generates about $350,000 more in gross revenue per advisor, at a cost of 'just' $90,000 more per CFP professional, representing a clear net financial benefit of about $250,000 per advisor!

Ultimately, the data collectively suggest that the CFP marks offer a powerful productivity boost both to service advisors and to the firms that employ them, driven by both the capabilities of CFP professionals delivering financial planning services and the preferences of consumers – especially more affluent consumers who pay more in fees to solve more complex financial problems – to work with a CFP professional in the first place!

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• Open access
• Published: 02 September 2024

Green spaces provide substantial but unequal urban cooling globally

• Yuxiang Li 1 ,
• Jens-Christian Svenning   ORCID: orcid.org/0000-0002-3415-0862 2 ,
• Weiqi Zhou   ORCID: orcid.org/0000-0001-7323-4906 3 , 4 , 5 ,
• Kai Zhu   ORCID: orcid.org/0000-0003-1587-3317 6 ,
• Jesse F. Abrams   ORCID: orcid.org/0000-0003-0411-8519 7 ,
• Timothy M. Lenton   ORCID: orcid.org/0000-0002-6725-7498 7 ,
• William J. Ripple 8 ,
• Zhaowu Yu   ORCID: orcid.org/0000-0003-4576-4541 9 ,
• Shuqing N. Teng 1 ,
• Robert R. Dunn 10 &
• Chi Xu   ORCID: orcid.org/0000-0002-1841-9032 1  

Nature Communications volume  15 , Article number:  7108 ( 2024 ) Cite this article

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Metrics details

• Climate-change mitigation
• Urban ecology

Climate warming disproportionately impacts countries in the Global South by increasing extreme heat exposure. However, geographic disparities in adaptation capacity are unclear. Here, we assess global inequality in green spaces, which urban residents critically rely on to mitigate outdoor heat stress. We use remote sensing data to quantify daytime cooling by urban greenery in the warm seasons across the ~500 largest cities globally. We show a striking contrast, with Global South cities having ~70% of the cooling capacity of cities in the Global North (2.5 ± 1.0 °C vs. 3.6 ± 1.7 °C). A similar gap occurs for the cooling adaptation benefits received by an average resident in these cities (2.2 ± 0.9 °C vs. 3.4 ± 1.7 °C). This cooling adaptation inequality is due to discrepancies in green space quantity and quality between cities in the Global North and South, shaped by socioeconomic and natural factors. Our analyses further suggest a vast potential for enhancing cooling adaptation while reducing global inequality.

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Introduction.

Heat extremes are projected to be substantially intensified by global warming 1 , 2 , imposing a major threat to human mortality and morbidity in the coming decades 3 , 4 , 5 , 6 . This threat is particularly concerning as a majority of people now live in cities 7 , including those cities suffering some of the hottest climate extremes. Cities face two forms of warming: warming due to climate change and warming due to the urban heat island effect 8 , 9 , 10 . These two forms of warming have the potential to be additive, or even multiplicative. Climate change in itself is projected to result in rising maximum temperatures above 50 °C for a considerable fraction of the world if 2 °C global warming is exceeded 2 ; the urban heat island effect will cause up to >10 °C additional (surface) warming 11 . Exposures to temperatures above 35 °C with high humidity or above 40 °C with low humidity can lead to lethal heat stress for humans 12 . Even before such lethal temperatures are reached, worker productivity 13 and general health and well-being 14 can suffer. Heat extremes are especially risky for people living in the Global South 15 , 16 due to warmer climates at low latitudes. Climate models project that the lethal temperature thresholds will be exceeded with increasing frequencies and durations, and such extreme conditions will be concentrated in low-latitude regions 17 , 18 , 19 . These low-latitude regions overlap with the major parts of the Global South where population densities are already high and where population growth rates are also high. Consequently, the number of people exposed to extreme heat will likely increase even further, all things being equal 16 , 20 . That population growth will be accompanied by expanded urbanization and intensified urban heat island effects 21 , 22 , potentially exacerbating future Global North-Global South heat stress exposure inequalities.

Fortunately, we know that heat stress can be buffered, in part, by urban vegetation 23 . Urban green spaces, and especially urban forests, have proven an effective means through which to ameliorate heat stress through shading 24 , 25 and transpirational cooling 26 , 27 . The buffering effect of urban green spaces is influenced by their area (relative to the area of the city) and their spatial configuration 28 . In this context, green spaces become a kind of infrastructure that can and should be actively managed. At broad spatial scales, the effect of this urban green infrastructure is also mediated by differences among regions, whether in their background climate 29 , composition of green spaces 30 , or other factors 31 , 32 , 33 , 34 . The geographic patterns of the buffering effects of green spaces, whether due to geographic patterns in their areal extent or region-specific effects, have so far been poorly characterized.

On their own, the effects of climate change and urban heat islands on human health are likely to become severe. However, these effects will become even worse if they fall disproportionately in cities or countries with less economic ability to invest in green space 35 or in other forms of cooling 36 , 37 . A number of studies have now documented the so-called ‘luxury effect,’ wherein lower-income parts of cities tend to have less green space and, as a result, reduced biodiversity 38 , 39 . Where the luxury effect exists, green space and its benefits become, in essence, a luxury good 40 . If the luxury effect holds among cities, and lower-income cities also have smaller green spaces, the Global South may have the least potential to mitigate the combined effects of climate warming and urban heat islands, leading to exacerbated and rising inequalities in heat exposure 41 .

Here, we assess the global inequalities in the cooling capability of existing urban green infrastructure across urban areas worldwide. To this end, we use remotely sensed data to quantify three key variables, i.e., (1) cooling efficiency, (2) cooling capacity, and (3) cooling benefit of existing urban green infrastructure for ~500 major cities across the world. Urban green infrastructure and temperature are generally negatively and relatively linearly correlated at landscape scales, i.e., higher quantities of urban green infrastructure yield lower temperatures 42 , 43 . Cooling efficiency is widely used as a measure of the extent to which a given proportional increase in the area of urban green infrastructure leads to a decrease in temperature, i.e., the slope of the urban green infrastructure-temperature relationship 42 , 44 , 45 (see Methods for details). This simple metric allows quantifying the quality of urban green infrastructure in terms of ameliorating the urban heat island effect. Meanwhile, the extent to which existing urban green infrastructure cools down an entire city’s surface temperatures (compared to the non-vegetated built-up areas) is referred to as cooling capacity. Hence, cooling capacity is a function of the total quantity of urban green infrastructure and its cooling efficiency (see Methods).

As a third step, we account for the spatial distributions of urban green infrastructure and populations to quantify the benefit of cooling mitigation received by an average urban inhabitant in each city given their location. This cooling benefit is a more direct measure of the cooling realized by people, after accounting for the within-city geography of urban green infrastructure and population density. We focus on cooling capacity and cooling benefit as the measures of the cooling capability of individual cities for assessing their global inequalities. We are particularly interested in linking cooling adaptation inequality with income inequality 40 , 46 . While this can be achieved using existing income metrics for country classifications 47 , here we use the traditional Global North/South classification due to its historical ties to geography which is influential in climate research.

Results and discussion

Our analyses indicate that existing green infrastructure of an average city has a capability of cooling down surface temperatures by ~3 °C during warm seasons. However, a concerning disparity is evident; on average Global South cities have only two-thirds the cooling capacity and cooling benefit compared to Global North cities. This inequality is attributable to the differences in both quantity and quality of existing urban green infrastructure among cities. Importantly, we find that there exists considerable potential for many cities to enhance the cooling capability of their green infrastructure; achieving this potential could dramatically reduce global inequalities in adaptation to outdoor heat stress.

Quantifying cooling inequality

Our analyses showed that both the quantity and quality of the existing urban green infrastructure vary greatly among the world’s ~500 most populated cities (see Methods for details, and Fig.  1 for examples). The quantity of urban green infrastructure measured based on remotely sensed indicators of spectral greenness (Normalized Difference Vegetation Index, NDVI, see Methods) had a coefficient of variation (CV) of 35%. Similarly, the quality of urban green infrastructure in terms of cooling efficiency (daytime land surface temperatures during peak summer) had a CV of 37% (Supplementary Figs.  1 , 2 ). The global mean value of cooling capacity is 2.9 °C; existing urban green infrastructure ameliorates warm-season heat stress by 2.9 °C of surface temperature in an average city. In truth, however, the variation in cooling capacity was great (global CV in cooling capacity as large as ~50%), such that few cities were average. This variation is strongly geographically structured. Cities closer to the equator - tropical and subtropical cities - tend to have relatively weak cooling capacities (Fig.  2a, b ). As Global South countries are predominantly located at low latitudes, this pattern leads to a situation in which Global South cities, which tend to be hotter and relatively lower-income, have, on average, approximately two-thirds the cooling capacity of the Global North cities (2.5 ± 1.0 vs. 3.6 ± 1.7°C, Wilcoxon test, p  = 2.7e-12; Fig.  2c ). The cities that most need to rely on green infrastructure are, at present, those that are least able to do so.

a , e , i , m , q Los Angeles, US. b , f , j , n , r Paris, France. c , g , k , o , s Shanghai, China. d , h , l , p , t Cairo, Egypt. Local cooling efficiency is calculated for different local climate zone types to account for within-city heterogeneity. In densely populated parts of cities, local cooling capacity tends to be lower due to reduced green space area, whereas local cooling benefit (local cooling capacity multiplied by a weight term of local population density relative to city mean) tends to be higher as more urban residents can receive cooling amelioration.

a Global distribution of cooling capacity for the 468 major urbanized areas. b Latitudinal pattern of cooling capacity. c Cooling capacity difference between the Global North and South cities. The cooling capacity offered by urban green infrastructure evinces a latitudinal pattern wherein lower-latitude cities have weaker cooling capacity ( b , cubic-spline fitting of cooling capacity with 95% confidence interval is shown), representing a significant inequality between Global North and South countries: city-level cooling capacity for Global North cities are about 1.5-fold higher than in Global South cities ( c ). Data are presented as box plots, where median values (center black lines), 25th percentiles (box lower bounds), 75th percentiles (box upper bounds), whiskers extending to 1.5-fold of the interquartile range (IQR), and outliers are shown. The tails of the cooling capacity distributions are truncated at zero as all cities have positive values of cooling capacity. Notice that no cities in the Global South have a cooling capacity greater than 5.5 °C ( c ). This is because no cities in the Global South have proportional green space areas as great as those seen in the Global North (see also Fig.  4b ). A similar pattern is found for cooling benefit (Supplementary Fig.  3 ). The two-sided non-parametric Wilcoxon test was used for statistical comparisons.

When we account for the locations of urban green infrastructure relative to humans within cities, the cooling benefit of urban green infrastructure realized by an average urban resident generally becomes slightly lower than suggested by cooling capacity (see Methods; Supplementary Fig.  3 ). Urban residents tend to be densest in the parts of cities with less green infrastructure. As a result, the average urban resident experiences less cooling amelioration than expected. However, this heterogeneity has only a minor effect on global-scale inequality. As a result, the geographic trends in cooling capacity and cooling benefit are similar: mean cooling benefit for an average urban resident also presents a 1.5-fold gap between Global South and North cities (2.2 ± 0.9 vs. 3.4 ± 1.7 °C, Wilcoxon test, p  = 3.2e-13; Supplementary Fig.  3c ). Urban green infrastructure is a public good that has the potential to help even the most marginalized populations stay cool; unfortunately, this public benefit is least available in the Global South. When walking outdoors, the average person in an average Global South city receives only two-thirds the cooling amelioration from urban green infrastructure experienced by a person in an average Global North city. The high cooling amelioration capacity and benefit of the Global North cities is heavily influenced by North America (specifically, Canada and the US), which have both the highest cooling efficiency and the largest area of green infrastructure, followed by Europe (Supplementary Fig.  4 ).

One way to illustrate the global inequality of cooling capacity or benefit is to separately look at the cities that are most and least effective in ameliorating outdoor heat stress. Our results showed that ~85% of the 50 most effective cities (with highest cooling capacity or cooling benefit) are located in the Global North, while ~80% of the 50 least effective are Global South cities (Fig.  3 , Supplementary Fig.  5 ). This is true without taking into account the differences in the background temperatures and climate warming of these cities, which will exacerbate the effects on human health; cities in the Global South are likely to be closer to the limits of human thermal comfort and even, increasingly, the limits of the temperatures and humidities (wet-bulb temperatures) at which humans can safely work or even walk, such that the ineffectiveness of green spaces in those cities in cooling will lead to greater negative effects on human health 48 , work 14 , and gross domestic product (GDP) 49 . In addition, Global South cities commonly have higher population densities (Fig.  3 , Supplementary Fig.  5 ) and are projected to have faster population growth 50 . This situation will plausibly intensify the urban heat island effect because of the need of those populations for housing (and hence tensions between the need for buildings and the need for green spaces). It will also increase the number of people exposed to extreme urban heat island effects. Therefore, it is critical to increase cooling benefit via expanding urban green spaces, so that more people can receive the cooling mitigation from a given new neighboring green space if they live closer to each other. Doing so will require policies that incentivize urban green spaces as well as architectural innovations that make innovations such as plant-covered buildings easier and cheaper to implement.

The axes on the right are an order of magnitude greater than those on the left, such that the cooling capacity of Charlotte in the United States is about 37-fold greater than that of Mogadishu (Somalia) and 29-fold greater than that of Sana’a (Yemen). The cities presenting lowest cooling capacities are most associated with Global South cities at higher population densities.

Of course, cities differ even within the Global North or within the Global South. For example, some Global South cities have high green space areas (or relatively high cooling efficiency in combination with moderate green space areas) and hence high cooling capacity. These cities, such as Pune (India), will be important to study in more detail, to shed light on the mechanistic details of their cooling abilities as well as the sociopolitical and other factors that facilitated their high green area coverage and cooling capabilities (Supplementary Figs.  6 , 7 ).

We conducted our primary analyses using a spatial grain of 100-m grid cells and Landsat NDVI data for quantifying spectral greenness. Our results, however, were robust at the coarser spatial grain of 1 km. We find a slightly larger global cooling inequality (~2-fold gap between Global South and North cities) at the 1-km grain using MODIS data (see Methods and Supplementary Fig.  17 ). MODIS data have been frequently used for quantifying urban heat island effects and cooling mitigation 44 , 45 , 51 . Our results reinforce its robustness for comparing urban thermal environments between cities across broad scales.

Influencing factors

The global inequality of cooling amelioration could have a number of proximate causes. To understand their relative influence, we first separately examined the effects of quality (cooling efficiency) and quantity (NDVI as a proxy indicator of urban green space area) of urban green infrastructure. The simplest null model is one in which cooling capacity (at the city scale) and cooling benefit (at the human scale) are driven primarily by the proportional area in a city dedicated to green spaces. Indeed, we found that both cooling capacity and cooling benefit were strongly correlated with urban green space area (Fig.  4 , Supplementary Fig.  8 ). This finding is useful with regards to practical interventions. In general, cities that invest in saving or restoring more green spaces will receive more cooling benefits from those green spaces. By contrast, differences among cities in cooling efficiency played a more minor role in determining the cooling capacity and benefit of cities (Fig.  4 , Supplementary Fig.  8 ).

a Relationship between cooling efficiency and cooling capacity. b Relationship between green space area (measured by mean Landsat NDVI in the hottest month of 2018) and cooling capacity. Note that the highest level of urban green space area in the Global South cities is much lower than that in the Global North (dashed line in b ). Gray bands indicate 95% confidence intervals. Two-sided t-tests were conducted. c A piecewise structural equation model based on assumed direct and indirect (through influencing cooling efficiency and urban green space area) effects of essential natural and socioeconomic factors on cooling capacity. Mean annual temperature and precipitation, and topographic variation (elevation range) are selected to represent basic background natural conditions; GDP per capita is selected to represent basic socioeconomic conditions. The spatial extent of built-up areas is included to correct for city size. A bi-directional relationship (correlation) is fitted between mean annual temperature and precipitation. Red and blue solid arrows indicate significantly negative and positive coefficients with p  ≤ 0.05, respectively. Gray dashed arrows indicate p  > 0.05. The arrow width illustrates the effect size. Similar relationships are found for cooling benefits realized by an average urban resident (see Supplementary Fig.  8 ).

A further question is what shapes the quality and quantity of urban green infrastructure (which in turn are driving cooling capacity)? Many inter-correlated factors are possibly operating at multiple scales, making it difficult to disentangle their effects, especially since experiment-based causal inference is usually not feasible for large-scale urban systems. From a macroscopic perspective, we test the simple hypothesis that the background natural and socioeconomic conditions of cities jointly affect their cooling capacity and benefit in both direct and indirect ways. To this end, we constructed a minimal structural equation model including only the most essential variables reflecting background climate (mean annual temperature and precipitation), topographic variation (elevation range), as well as gross domestic product (GDP) per capita and city area (see Methods; Fig.  4c ).

We found that the quantity of green spaces in a city (again, in proportion to its size) was positively correlated with GDP per capita and city area; wealthier cities have more green spaces. It is well known that wealth and green spaces are positively correlated within cities (the luxury effect) 40 , 46 ; our analysis shows that a similar luxury effect occurs among them at a global scale. In addition, larger cities often have proportionally more green spaces, an effect that may be due to the tendency for large cities (particularly in the US and Canada) to have lower population densities. Cities that were hotter and had more topographic variation tended to have fewer green spaces and those that were more humid tended to have more green spaces. Given that temperature and humidity are highly correlated with the geography of the Global South and Global North, it is difficult to know whether these effects are due to the direct effects of temperature and precipitation, for example, on the growth rate of vegetation and hence the transition of abandoned lots into green spaces, or are associated with historical, cultural and political differences that via various mechanisms correlate to climate. Our structural equation model explained only a small fraction of variation among cities in their cooling efficiency, which is to say the quality of their green space. Cooling efficiency was modestly influenced by background temperature and precipitation—the warmer a city, the greater the cooling efficiency in that city; conversely, the more humid a city the less the cooling efficiency of that city.

Our analyses suggested that the lower cooling adaptation capabilities of Global South cities can be explained by their lower quantity of green infrastructure and, to a much lesser extent, their weaker cooling efficiency (quality; Supplementary Fig.  2 ). These patterns appear to be in part structured by GDP, but are also associated with climatic conditions 39 , and other factors. A key question, unresolved by our work, is whether the climatic correlates of the size of green spaces in cities are due to the effects of climate per se or if they, instead, reflect correlates between contemporary climate and the social, cultural, and political histories of cities in the Global South 52 . Since urban planning has much inertia, especially in big cities, those choices might be correlated with climate because of the climatic correlates of political histories. It is also possible that these dynamics relate, in part, to the ways in which climate influences vegetation structure. However, this seems less likely given that under non-urban conditions vegetation cover (and hence cooling capacity) is normally positively correlated with mean annual temperature across the globe, opposite to our observed negative relationships for urban systems (Supplementary Fig.  9g ). Still, it is possible that increased temperatures in cities due to the urban heat island effects may lead to temperature-vegetation cover-cooling capacity relationships that differ from those in natural environments 53 , 54 . Indeed, a recent study found that climate warming will put urban forests at risk, and the risk is disproportionately higher in the Global South 55 .

Our model serves as a starting point for unraveling the mechanisms underlying global cooling inequality. We cannot rule out the possibility that other unconsidered factors correlated with the studied variables play important roles. We invite systematic studies incorporating detailed sociocultural and ecological variables to address this question across scales.

Potential of enhancing cooling and reducing inequality

Can we reduce the inequality in cooling capacity and benefits that we have discovered among the world’s largest cities? Nuanced assessments of the potential to improve cooling mitigation require comprehensive considerations of socioeconomic, cultural, and technological aspects of urban management and policy. It is likely that cities differ greatly in their capacity to implement cooling through green infrastructure, whether as a function of culture, governance, policy or some mix thereof. However, any practical attempts to achieve greater cooling will occur in the context of the realities of climate and existing land use. To understand these realities, we modeled the maximum additional cooling capacity that is possible in cities, given existing constraints. We assume that this capacity depends on the quality (cooling efficiency) and quantity of urban green infrastructure. Our approach provides a straightforward metric of the cooling that could be achieved if all parts of a city’s green infrastructure were to be enhanced systematically.

The positive outlook is that our analyses suggest a considerable potential of improving cooling capacity by optimizing urban green infrastructure. An obvious way is through increases in urban green infrastructure quantity. We employ an approach in which we consider each local climate zone 56 to have a maximum NDVI and cooling efficiency (see Methods). For a given local climate zone, the city with the largest NDVI values or cooling efficiency sets the regional upper bounds for urban green infrastructure quantities or quality that can be achieved. Notably, these maxima are below the maxima for forests or other non-urban spaces for the simple reason that, as currently imagined, cities must contain gray (non-green) spaces in the form of roads and buildings. In this context, we conduct a thought experiment. What if we could systematically increase NDVI of all grid cells in each city, per local climate zone type, to a level corresponding to the median NDVI of grid cells in that upper bound city while keeping cooling efficiency unchanged (see Methods). If we were able to achieve this goal, the cooling capacity of cities would increase by ~2.4 °C worldwide. The increase would be even greater, ~3.8°C, if the 90th percentile (within the reference maximum city) was reached (Fig.  5a ). The potential for cooling benefit to the average urban resident is similar to that of cooling capacity (Supplementary Fig.  10a ). There is also potential to reduce urban temperatures if we can enhance cooling efficiency. However, the benefits of increases in cooling efficiency are modest (~1.5 °C increases at the 90th percentile of regional upper bounds) when holding urban green infrastructure quantity constant. In theory, if we could maximize both quantity and cooling efficiency of urban green infrastructure (to 90th percentiles of their regional upper bounds respectively), we would yield increases in cooling capacity and benefit up to ~10 °C, much higher than enhancing green space area or cooling efficiency alone (Fig.  5a , Supplementary Fig.  10a ). Notably, such co-maximization of green space area and cooling efficiency would substantially reduce global inequality to Gini <0.1 (Fig.  5b , Supplementary Fig.  10b ). Our analyses thus provide an important suggestion that enhancing both green space quantity and quality can yield a synergistic effect leading to much larger gains than any single aspect alone.

a The potential of enhancing cooling capacity via either enhancing urban green infrastructure quality (i.e., cooling efficiency) while holding quantity (i.e., green space area) fixed (yellow), or enhancing quantity while holding quality fixed (blue) is much lower than that of enhancing both quantity and quality (green). The x-axis indicates the targets of enhancing urban green infrastructure quantity and/or quality relative to the 50–90th percentiles of NDVI or cooling efficiency, see Methods). The dashed horizontal lines indicate the median cooling capacity of current cities. Data are presented as median values with the colored bands corresponding to 25–75th percentiles. b The potential of reducing cooling capacity inequality is also higher when enhancing both urban green infrastructure quantity and quality. The Gini index weighted by population density is used to measure inequality. Similar results were found for cooling benefit (Supplementary Fig.  10 ).

Different estimates of cooling capacity potential may be reached based on varying estimates and assumptions regarding the maximum possible quantity and quality of urban green infrastructure. There is no single, simple way to make these estimates, especially considering the huge between-city differences in society, culture, and structure across the globe. Our example case (above) begins from the upper bound city’s median NDVI, taking into account different local climate zone types and background climate regions (regional upper bounds). This is based on the assumption that for cities within the same climate regions, their average green space quantity may serve as an attainable target. Still, urban planning is often made at the level of individual cities, often only implemented to a limited extent and made with limited consideration of cities in other regions and countries. A potentially more realistic reference may be taken from the existing green infrastructure (again, per local climate zone type) within each particular city itself (see Methods): if a city’s sparsely vegetated areas was systematically elevated to the levels of 50–90th percentiles of NDVI within their corresponding local climate zones within the city, cooling capacity would still increase, but only by 0.5–1.5 °C and with only slightly reduced inequalities among cities (Supplementary Fig.  11 ). This highlights that ambitious policies, inspired by the greener cities worldwide, are necessary to realize the large cooling potential in urban green infrastructure.

In summary, our results demonstrate clear inequality in the extent to which urban green infrastructure cools cities and their denizens between the Global North and South. Much attention has been paid to the global inequality of indoor heat adaptation arising from the inequality of resources (e.g., less affordable air conditioning and more frequent power shortages in the Global South) 36 , 57 , 58 , 59 . Our results suggest that the inequality in outdoor adaptation is particularly concerning, especially as urban populations in the Global South are growing rapidly and are likely to face the most severe future temperature extremes 60 .

Previous studies have been focusing on characterizing urban heat island effects, urban vegetation patterns, resident exposure, and cooling effects in particular cities 26 , 28 , 34 , 61 , regions 22 , 25 , 62 , or continents 32 , 44 , 63 . Recent studies start looking at global patterns with respect to cooling efficiency or green space exposure 35 , 45 , 64 , 65 . Our approach is one drawn from the fields of large-scale ecology and macroecology. This approach is complementary to and, indeed, can, in the future, be combined with (1) mechanism driven biophysical models 66 , 67 to predict the influence of the composition and climate of green spaces on their cooling efficiency, (2) social theory aimed at understanding the factors that govern the amount of green space in cities as well as the disparity among cities 68 , (3) economic models of the effects of policy changes on the amount of greenspace and even (4) artist-driven projects that seek to understand the ways in which we might reimagine future cities 69 . Our simple explanatory model is, ultimately, one lens on a complex, global phenomenon.

Our results convey some positive outlook in that there is considerable potential to strengthen the cooling capability of cities and to reduce inequalities in cooling capacities at the same time. Realizing this nature-based solution, however, will be challenging. First, enhancing urban green infrastructure requires massive investments, which are more difficult to achieve in Global South cities. Second, it also requires smart planning strategies and advanced urban design and greening technologies 37 , 70 , 71 , 72 . Spatial planning of urban green spaces needs to consider not only the cooling amelioration effect, but also their multifunctional aspects that involve multiple ecosystem services, mental health benefits, accessibility, and security 73 . In theory, a city can maximize its cooling while also maximizing density through the combination of high-density living, ground-level green spaces, and vertical and rooftop gardens (or even forests). In practice, the current cities with the most green spaces tend to be lower-density cities 74 (Supplementary Fig.  12 ). Still, innovation and implementation of new technologies that allow green spaces and high-density living to be combined have the potential to reduce or disconnect the negative relationship between green space area and population density 71 , 75 . However, this development has yet to be realized. Another dimension of green spaces that deserves more attention is the geography of green spaces relative to where people are concentrated within cities. A critical question is how best should we distribute green spaces within cities to maximize cooling efficiency 76 and minimize within-city cooling inequality towards social equity 77 ? Last but not least, it is crucial to design and manage urban green spaces to be as resilient as possible to future climate stress 78 . For many cities, green infrastructure is likely to remain the primary means people will have to rely on to mitigate the escalating urban outdoor heat stress in the coming decades 79 .

We used the world population data from the World’s Cities in 2018 Data Booklet 80 to select 502 major cities with population over 1 million people (see Supplementary Data  1 for the complete list of the studied cities). Cities are divided into the Global North and Global South based on the Human Development Index (HDI) from the Human Development Report 2019 81 . For each selected city, we used the 2018 Global Artificial Impervious Area (GAIA) data at 30 m resolution 82 to determine its geographic extent. The derived urban boundary polygons thus encompass a majority of the built-up areas and urban residents. In using this approach, rather than urban administrative boundaries, we can focus on the relatively densely populated areas where cooling mitigation is most needed, and exclude areas dominated by (semi) natural landscapes that may bias the subsequent quantifications of the cooling effect. Our analyses on the cooling effect were conducted at the 100 m spatial resolution using Landsat data and WorldPop Global Project Population Data of 2018 83 . In order to test for the robustness of the results to coarser spatial scales, we also repeated the analyses at 1 km resolution using MODIS data, which have been extensively used for quantifying urban heat island effects and cooling mitigation 44 , 45 , 51 . We discarded the five cities with sizes <30 km 2 as they were too small for us to estimate their cooling efficiency based on linear regression (see section below for details). We combined closely located cities that form contiguous urban areas or urban agglomerations, if their urban boundary polygons from GAIA merged (e.g., Phoenix and Mesa in the United States were combined). Our approach yielded 468 polygons, each representing a major urbanized area that were the basis for all subsequent analyses. Because large water bodies can exert substantial and confounding cooling effects, we excluded permanent water bodies including lakes, reservoirs, rivers, and oceans using the Copernicus Global Land Service (CGLS) Land Cover data for 2018 at 10 m resolution 84 .

Quantifying the cooling effect

As a first step, we calculated cooling efficiency for each studied city within the GAIA-derived urban boundary. Cooling efficiency quantifies the extent to which a given area of green spaces in a city can reduce temperatures. It is a measure of the effectiveness (quality) of urban green spaces in terms of heat amelioration. Cooling efficiency is typically measured by calculating the slope of the relationship between remotely-sensed land surface temperature (LST) and vegetation cover through ordinary least square regression 42 , 44 , 45 . It is known that cooling efficiency varies between cities. Influencing factors might include background climate 29 , species composition 30 , 85 , landscape configuration 28 , topography 86 , proximity to large water bodies 33 , 87 , urban morphology 88 , and city management practices 31 . However, the mechanism underlying the global pattern of cooling efficiency remains unclear.

We used Landsat satellite data provided by the United States Geological Survey (USGS) to calculate the cooling efficiency of each studied city. We used the cloud-free Landsat 8 Level 2 LST and NDVI data. For each city we calculated the mean LST in each month of 2018 to identify the hottest month, and then derived the hottest month LST; we used the cloud-free Landsat 8 data to calculate the mean NDVI for the hottest month correspondingly.

We quantified cooling efficiency for different local climate zones 56 separately for each city, to account for within-city variability of thermal environments. To this end, we used the Copernicus Global Land Service data (CGLS) 84 and Global Human Settlement Layers (GHSL) Built-up height data 89 of 2018 at the 100 m resolution to identify five types of local climate zones: non-tree vegetation (shrubs, herbaceous vegetation, and cultivated vegetation according to the CGLS classification system), low-rise buildings (built up and bare according to the CGLS classification system, with building heights ≤10 m according to the GHSL data), medium-high-rise buildings (built up and bare areas with building heights >10 m), open tree cover (open forest with tree cover 15–70% according to the CGLS system), and closed tree cover (closed forest with tree cover >70%).

For each local climate zone type in each city, we constructed a regression model with NDVI as the predictor variable and LST as the response variable (using the ordinary least square method). We took into account the potential confounding factors including topographic elevation (derived from MERIT DEM dataset 90 ), building height (derived from the GHSL dataset 89 ), and distance to water bodies (derived from the GSHHG dataset 91 ), the model thus became: LST ~ NDVI + topography + building height + distance to water. Cooling efficiency was calculated as the absolute value of the regression coefficient of NDVI, after correcting for those confounding factors. To account for the multi-collinearity issue, we conducted variable selection based on the variance inflation factor (VIF) to achieve VIF < 5. Before the analysis, we discarded low-quality Landsat pixels, and filtered out the pixels with NDVI < 0 (normally less than 1% in a single city). Cooling efficiency is known to be influenced by within-city heterogeneity 92 , 93 , and, as a result, might sometimes better fit non-linear relationships at local scales 65 , 76 . However, our central aim is to assess global cooling inequality based on generalized relationships that fit the majority of global cities. Previous studies have shown that linear relationships can do this job 42 , 44 , 45 , therefore, here we used linear models to assess cooling efficiency.

As a second step, we calculated the cooling capacity of each city. Cooling capacity is a positive function of the magnitude of cooling efficiency and the proportional area of green spaces in a city and is calculated based on NDVI and the derived cooling efficiency (Eq.  1 , Supplementary Fig.  13 ):

where CC lcz and CE lcz are the cooling capacity and cooling efficiency for a given local climate zone type in a city, respectively; NDVI i is the mean NDVI for 100-m grid cell i ; NDVI min is the minimum NDVI across the city; and n is the total number of grid cells within the local climate zone. Local cooling capacity for each grid cell i (Fig.  1 , Supplementary Fig.  7 ) can be derived in this way as well (Supplementary Fig.  13 ). For a particular city, cooling capacity may be dependent on the spatial configuration of its land use/cover 28 , 94 , but here we condensed cooling capacity to city average (Eq.  2 ), thus did not take into account these local-scale factors.

where CC is the average cooling capacity of a city; n lcz is the number of grid cells of the local climate zone; m is the total number of grid cells within the whole city.

As a third step, we calculated the cooling benefit realized by an average urban resident (cooling benefit in short) in each city. Cooling benefit depends not only on the cooling capacity of a city, but also on where people live within a city relative to greener or grayer areas of the city. For example, cooling benefits in a city might be low even if the cooling capacity is high if the green parts and the dense-population parts of a city are inversely correlated. Here, we are calculating these averages while aware that in any particular city the exposure of a particular person will depend on the distribution of green spaces in a city, and the occupation, movement trajectories of a person, etc. On the scale of a city, we calculated cooling benefit following a previous study 35 , that is, simply adding a weight term of population size per 100-m grid cell into cooling capacity in Eq. ( 1 ):

Where CB lcz is the cooling benefit of a given local climate zone type in a specific city, pop i is the number of people within grid cell i , \(\overline{{pop}}\) is the mean population of the city.

Where CB is the average cooling benefit of a city. The population data were obtained from the 100-m resolution WorldPop Global Project Population Data of 2018 83 . Local cooling benefit for a given grid cell i can be calculated in a similar way, i.e., local cooling capacity multiplied by a weight term of local population density relative to mean population density. Local cooling benefits were mapped for example cities for the purpose of illustrating the effect of population spatial distribution (Fig.  1 , Supplementary Fig.  7 ), but their patterns were not examined here.

Based on the aforementioned three key variables quantified at 100 m grid cells, we conducted multivariate analyses to examine if and to what extent cooling efficiency and cooling benefit are shaped by essential natural and socioeconomic factors, including background climate (mean annual temperature from ECMWF ERA5 dataset 95 and precipitation from TerraClimate dataset 96 ), topography (elevation range 90 ), and GDP per capita 97 , with city size (geographic extent) corrected for. We did not include humidity because it is strongly correlated with temperature and precipitation, causing serious multi-collinearity problems. We used piecewise structural equation modeling to test the direct effects of these factors and indirect effects via influencing cooling efficiency and vegetation cover (Fig.  4c , Supplementary Fig.  8c ). To account for the potential influence of spatial autocorrelation, we used spatially autoregressive models (SAR) to test for the robustness of the observed effects of natural and socioeconomic factors on cooling capacity and benefit (Supplementary Fig.  14 ).

Testing for robustness

We conducted the following additional analyses to test for robustness. We obtained consistent results from these robustness analyses.

(1) We looked at the mean hottest-month LST and NDVI within 3 years (2017-2019) to check the consistency between the results based on relatively short (1 year) vs. long (3-year average) time periods (Supplementary Fig.  15 ).

(2) We carried out the approach at a coarser spatial scale of 1 km, using MODIS-derived NDVI and LST, as well as the population data 83 in the hottest month of 2018. In line with our finer-scale analysis of Landsat data, we selected the hottest month and excluded low-quality grids affected by cloud cover and water bodies 98 (water cover > 20% in 1 × 1 km 2 grid cells) of MODIS LST, and calculated the mean NDVI for the hottest month. We ultimately obtained 441 cities (or urban agglomerations) for analysis. At the 1 km resolution, some local climate zone types would yield insufficient samples for constructing cooling efficiency models. Therefore, instead of identifying local climate zone explicitly, we took an indirect approach to account for local climate confounding factors, that is, we constructed a multiple regression model for a whole city incorporating the hottest-month local temperature 95 , precipitation 96 , and humidity (based on NASA FLDAS dataset 99 ), albedo (derived from the MODIS MCD43A3 product 100 ), aerosol loading (derived from the MODIS MCD19A2 product 101 ), wind speed (based on TerraClimate dataset 96 ), topography elevation 90 , distance to water 91 , urban morphology (building height 102 ), and human activity intensity (VIIRS nighttime light data as a proxy indicator 103 ). We used the absolute value of the linear regression coefficient of NDVI as the cooling efficiency of the whole city (model: LST ~ NDVI + temperature + precipitation + humidity + distance to water + topography + building height + albedo + aerosol + wind speed + nighttime light), and calculated cooling capacity and cooling benefit based on the same method. Variable selection was conducted using the criterion of VIF < 5.

Our results indicated that MODIS-based cooling capacity and cooling benefit are significantly correlated with the Landsat-based counterparts (Supplementary Fig.  16 ); importantly, the gap between the Global South and North cities is around two-fold, close to the result from the Landsat-based result (Supplementary Fig.  17 ).

(3) For the calculation of cooling benefit, we considered different spatial scales of human accessibility to green spaces: assuming the population in each 100 × 100 m 2 grid cell could access to green spaces within neighborhoods of certain extents, we calculated cooling benefit by replacing NDVI i in Eq. ( 3 ) with mean NDVI within the 300 × 300 m 2 and 500 × 500 m 2 extents centered at the focal grid cell (Supplementary Fig.  18 ).

(4) Considering cities may vary in minimum NDVI, we assessed if this variation could affect resulting cooling capacity patterns. To this end, we calculated the cooling capacity for each studied city using NDVI = 0 as the reference (i.e., using NDVI = 0 instead of minimum NDVI in Supplementary Fig.  13b ), and correlated it with that using minimum NDVI as the reference (Supplementary Fig.  19 ).

Quantifying between-city inequality

Inequalities in access to the benefits of green spaces in cities exist within cities, as is increasingly well-documented 104 . Here, we focus instead on the inequalities among cities. We used the Gini coefficient to measure the inequality in cooling capacity and cooling benefit between all studied cities across the globe as well as between Global North or South cities. We calculated Gini using the population-density weighted method (Fig.  5b ), as well as the unweighted and population-size weighted methods (Supplementary Fig.  20 ).

Estimating the potential for more effective and equal cooling amelioration

We estimated the potential of enhancing cooling amelioration based on the assumptions that urban green space quality (cooling efficiency) and quantity (NDVI) can be increased to different levels, and that relative spatial distributions of green spaces and population can be idealized (so that their spatial matches can maximize cooling benefit). We assumed that macro-climate conditions act as the constraints of vegetation cover and cooling efficiency. We calculated the 50th, 60th, 70th, 80th, and 90th percentiles of NDVI within each type of local climate zone of each city. For a given local climate zone type, we obtained the city with the highest NDVI per percentile value as the regional upper bounds of urban green infrastructure quantity. The regional upper bounds of cooling efficiency are derived in a similar way. For each local climate zone in a city, we generated a potential NDVI distribution where all grid cells reach the regional upper bound values for the 50th, 60th, 70th, 80th, or 90th percentile of urban green space quantity or quality, respectively. NDVI values below these percentiles were increased, whereas those above these percentiles remained unchanged. The potential estimates are essentially dependent on the references, i.e., the optimal cooling efficiency and NDVI that a given city can reach. However, such references are obviously difficult to determine, because complex natural and socioeconomic conditions could play important roles in determining those cooling optima, and the dominant factors are unknown at a global scale. We employed the simplifying assumption that background climate could act as an essential constraint according to our results. We therefore used the Köppen climate classification system 105 to determine the reference separately in each climate region (tropical, arid, temperate, and continental climate regions were involved for all studied cities).

We calculated potential cooling capacity and cooling benefit based on these potential NDVI maps (Fixed cooling efficiency in Fig.  5 ). We then calculated the potentials if cooling efficiency of each city can be enhanced to 50–90th percentile across all urban local climate zones within the corresponding biogeographic region (Fixed green space area in Fig.  5 ). We also calculated the potentials if both NDVI and cooling efficiency were enhanced (Enhancing both in Fig.  5) to a certain corresponding level (i.e., i th percentile NDVI +  i th percentile cooling efficiency). We examined if there are additional effects of idealizing relative spatial distributions of urban green spaces and humans on cooling benefits. To this end, the pixel values of NDVI or population amount remained unchanged, but their one-to-one correspondences were based on their ranking: the largest population corresponds to the highest NDVI, and so forth. Under each scenario, we calculated cooling capacity and cooling benefit for each city, and the between-city inequality was measured by the Gini coefficient.

We used the Google Earth Engine to process the spatial data. The statistical analyses were conducted using R v4.3.3 106 , with car v3.1-2 107 , piecewiseSEM v2.1.2 108 , and ineq v0.2-13 109 packages. The global maps of cooling were created using the ArcGIS v10.3 software.

Reporting summary

Further information on research design is available in the  Nature Portfolio Reporting Summary linked to this article.

Data availability

City population statistics data is collected from the Population Division of the Department of Economic and Social Affairs of the United Nations ( https://www.un.org/development/desa/pd/content/worlds-cities-2018-data-booklet ). Global North-South division is based on Human Development Report 2019 which from United Nations Development Programme ( https://hdr.undp.org/content/human-development-report-2019 ). Global urban boundaries from GAIA data are available from Star Cloud Data Service Platform ( https://data-starcloud.pcl.ac.cn/resource/14 ) . Global water data is derived from 2018 Copernicus Global Land Service (CGLS 100-m) data ( https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global ), European Space Agency (ESA) WorldCover 10 m 2020 product ( https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCover_v100 ), and GSHHG (A Global Self-consistent, Hierarchical, High-resolution Geography Database) at https://www.soest.hawaii.edu/pwessel/gshhg/ . Landsat 8 LST and NDVI data with 30 m resolution are available at  https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_L2 . Land surface temperature (LST) data with 1 km from MODIS Aqua product (MYD11A1) is available at https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD11A1 . NDVI (1 km) dataset from MYD13A2 is available at https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13A2 . Population data (100 m) is derived from WorldPop ( https://developers.google.com/earth-engine/datasets/catalog/WorldPop_GP_100m_pop ). Local climate zones are also based on 2018 CGLS data ( https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global ), and built-up height data is available from Global Human Settlement Layers (GHSL, 100 m) ( https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_H ). Temperature data is calculated from ERA5-Land Monthly Aggregated dataset ( https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_AGGR ). Precipitation and wind data are calculated from TerraClimate (Monthly Climate and Climatic Water Balance for Global Terrestrial Surfaces, University of Idaho) ( https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_TERRACLIMATE ). Humidity data is calculated from Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System ( https://developers.google.com/earth-engine/datasets/catalog/NASA_FLDAS_NOAH01_C_GL_M_V001 ). Topography data from MERIT DEM (Multi-Error-Removed Improved-Terrain DEM) product is available at https://developers.google.com/earth-engine/datasets/catalog/MERIT_DEM_v1_0_3 . GDP from Gross Domestic Product and Human Development Index dataset is available at https://doi.org/10.5061/dryad.dk1j0 . VIIRS nighttime light data is available at https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG . City building volume data from Global 3D Building Structure (1 km) is available at https://doi.org/10.34894/4QAGYL . Albedo data is derived from the MODIS MCD43A3 product ( https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A3 ), and aerosol data is derived from the MODIS MCD19A2 product ( https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD19A2_GRANULES ). All data used for generating the results are publicly available at https://doi.org/10.6084/m9.figshare.26340592.v1 .

Code availability

The codes used for data collection and analyses are publicly available at https://doi.org/10.6084/m9.figshare.26340592.v1 .

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Acknowledgements

We thank all the data providers. We thank Marten Scheffer for valuable discussion. C.X. is supported by the National Natural Science Foundation of China (Grant No. 32061143014). J.-C.S. was supported by Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), funded by Danish National Research Foundation (grant DNRF173), and his VILLUM Investigator project “Biodiversity Dynamics in a Changing World”, funded by VILLUM FONDEN (grant 16549). W.Z. was supported by the National Science Foundation of China through Grant No. 42225104. T.M.L. and J.F.A. are supported by the Open Society Foundations (OR2021-82956). W.J.R. is supported by the funding received from Roger Worthington.

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Y.L., S.N.T., R.R.D., and C.X. designed the study. Y.L. collected the data, generated the code, performed the analyses, and produced the figures with inputs from J.-C.S., W.Z., K.Z., J.F.A., T.M.L., W.J.R., Z.Y., S.N.T., R.R.D. and C.X. Y.L., S.N.T., R.R.D. and C.X. wrote the first draft with inputs from J.-C.S., W.Z., K.Z., J.F.A., T.M.L., W.J.R., and Z.Y. All coauthors interpreted the results and revised the manuscript.

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Li, Y., Svenning, JC., Zhou, W. et al. Green spaces provide substantial but unequal urban cooling globally. Nat Commun 15 , 7108 (2024). https://doi.org/10.1038/s41467-024-51355-0

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Integrity is key when discussing resume gaps, both on paper and in interviews. Avoid the temptation to cover up or gloss over these periods.

Instead, acknowledge them directly and provide a brief explanation. If the gap was due to personal reasons, such as health or family, a simple statement can suffice. For career breaks due to layoffs or company closures, focusing on the industry-wide context can help.

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Emphasize how you remained proactive during these times—whether through consulting, taking on freelance work, or engaging in professional development.

By demonstrating resilience and a proactive approach, you can turn what might seem like a liability into an asset.

Be sure to including any certifications or courses completed during your gap on your resume.

Highlighting growth and learning

One of the most effective ways to counterbalance resume gaps is to highlight the growth and learning that occurred during these periods.

This could mean showcasing how time away from the workforce was used to gain new certifications, pursue higher education, or even engage in industry-related research.

This not only illustrates a commitment to continuous learning but also positions you as a forward-thinking leader who adapts and evolves.

Highlighting these achievements on your resume and LinkedIn profile ensures that potential employers see a period of development rather than a gap in your professional journey.

Leveraging professional development

Professional development is a crucial element in overcoming resume gaps. Whether it’s through formal education, online courses, or certifications, ongoing learning shows a dedication to your field and a desire to stay ahead of industry trends.

Include any relevant certifications or courses completed during your gap directly on your resume, particularly if they align with the roles you’re targeting. This not only fills the gap but also enhances your qualifications.

Furthermore, mentioning any speaking engagements, published articles, or conference participation during this time can further demonstrate your active involvement in the industry, even during a career pause.

Discussing gaps confidently during interviews

When it comes to interviews, addressing resume gaps confidently is vital.

Preparation is key—anticipate questions about your employment history and be ready with clear, concise responses. Frame your answers in a way that highlights the positive outcomes of the gap.

For instance, if you took time off to care for a family member, discuss the skills you honed during this period, such as time management or crisis handling, which are invaluable in executive roles.

Remember, the goal is to steer the conversation toward how these experiences have made you a stronger, more resilient leader.

Confidence in your narrative reassures employers that you’re ready to step back into a leadership position with renewed vigour and perspective.

By following these strategies, you can turn potential concerns about resume gaps into opportunities to showcase your growth and adaptability as a senior professional.

With the right approach, these periods can be presented as valuable experiences that contribute to your overall leadership capabilities.

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