funding, portfolio, publications, citations, case studies, Research Excellence Framework
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Suri-Ogilvie R, Hicks S, Capostagno D et al. Gaining insights into a funding portfolio through publication tracking [version 3; peer review: 3 approved, 1 approved with reservations, 1 not approved]. NIHR Open Res 2025, 5:62 (https://doi.org/10.3310/nihropenres.14022.3) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Research Article
Revised Gaining insights into a funding portfolio through publication tracking
[version 3; peer review: 3 approved, 1 approved with reservations, 1 not approved]
Reetika Suri-Ogilvie
https://orcid.org/0000-0001-5509-2502
1, Sandra Hicks1, Dominique Capostagno1, Ashley Banks1, Elena Ahmed1, Kelly Makarona1Reetika Suri-Ogilvie
https://orcid.org/0000-0001-5509-2502
1, Sandra Hicks1, [...] Dominique Capostagno1, Ashley Banks1, Elena Ahmed1, Kelly Makarona1 PUBLISHED 01 Dec 2025
Author details Author details
1 NIHR Infrastructure, National Institute of Health and Care Research, London, UK
Reetika Suri-Ogilvie
Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Supervision, Validation, Writing – Original Draft Preparation, Writing – Review & Editing
Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Supervision, Validation, Writing – Original Draft Preparation, Writing – Review & Editing
Sandra Hicks
Roles: Data Curation, Formal Analysis
Roles: Data Curation, Formal Analysis
Dominique Capostagno
Roles: Data Curation, Methodology, Writing – Review & Editing
Roles: Data Curation, Methodology, Writing – Review & Editing
Ashley Banks
Roles: Data Curation, Methodology, Writing – Review & Editing
Roles: Data Curation, Methodology, Writing – Review & Editing
Elena Ahmed
Roles: Data Curation, Formal Analysis
Roles: Data Curation, Formal Analysis
Kelly Makarona
Roles: Supervision, Writing – Review & Editing
Roles: Supervision, Writing – Review & Editing
OPEN PEER REVIEW
REVIEWER STATUS
The National Institute for Health and Care Research (NIHR) is the UK’s biggest funder for health and social care research, funded by the Department of Health and Social Care (DHSC). The NIHR infrastructure provides research expertise, specialist facilities, a research delivery workforce and support services, all of which help to support and deliver the research we fund, and research funded by others. The NIHR is committed to maximising the impact of the research we support and fund 1 and therefore, it is crucial for the organisation to understand the mechanisms for the movement of research between these different pieces of research infrastructure and pathways to impact on the health and wealth of the nation. The aim of this article is to share our approach to developing an understanding of pathways to impact, enablers and barriers and lessons learnt.
We used publications reported to us by our infrastructure as receiving infrastructure support and forward and backward citation analysis to trace infrastructure support for REF 2021 impact case studies and research that has had an impact on policy. We used these data to develop impact case studies for NIHR infrastructure.
Of the 6,361 REF impact case studies that are publicly available, the NIHR infrastructure has supported 327 of which 59 are supported by more than one scheme. Through our forward and backward citation analysis we have also developed impact case studies in the following NIHR priority areas:
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Reducing health inequalities
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Digital health
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Artificial intelligence
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Workforce resilience
The use of forward and backward citation analysis can also help research funders to understand how research is moving between different parts of their funding portfolios, pathways to impact and any gaps and opportunities. However, this comes with some challenges which need mitigation.
The National Institute of Health and Care research (NIHR) is funded by the Department of Health and Social Care. It funds a £600M/year portoflio of infrastructure which provided support and a delivery workforce for experimental and clinical research in England. NIHR infrastructure report to the NIHR on an annual basis and one of the reporting requirements is a list of research publications that have been supported by the infrastructure. Using these it is possible to trace which research publications have either been cited by NIHR infrastructure supported research publications and which research publications cite NIHR infrastructure supported publications. This helps the NIHR to understand what types of research and within its portfolio and how the research moves within the health and care ecosystem to have an impact on the real world. This is important for the NIHR to be able to demonstrate the value of publicly funded research and fulfil its mission of improving the health and wealth of the nation. In this article we describe our methods for doing this to enable other funders to be able to learn from our experience.
funding, portfolio, publications, citations, case studies, Research Excellence Framework
Corresponding Author(s)
Reetika Suri-Ogilvie (
[email protected])
Grant information: The author(s) declared that no grants were involved in supporting this work.
Copyright: © 2025 Suri-Ogilvie R et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How to cite: Suri-Ogilvie R, Hicks S, Capostagno D et al. Gaining insights into a funding portfolio through publication tracking [version 3; peer review: 3 approved, 1 approved with reservations, 1 not approved]. NIHR Open Res 2025, 5:62 (https://doi.org/10.3310/nihropenres.14022.3) First published: 22 Jul 2025, 5:62 (https://doi.org/10.3310/nihropenres.14022.1) Latest published: 01 Dec 2025, 5:62 (https://doi.org/10.3310/nihropenres.14022.3) We have corrected three minor typos as kindly pointed out by our reviewers. These do not materially change the content of the manuscript. No new figures, changes to authors or affiliations. We have only fixed minor typos which do not materially change the content of the manuscript.
We have corrected three minor typos as kindly pointed out by our reviewers. These do not materially change the content of the manuscript. No new figures, changes to authors or affiliations. We have only fixed minor typos which do not materially change the content of the manuscript.
See the authors' detailed response to the review by Erik Canton
See the authors' detailed response to the review by Josie Coburn
See the authors' detailed response to the review by Shaoxiong Brian Xu
The National Institute for Health and Care Research (NIHR) is the UK’s biggest funder for health and social care research, funded by the Department of Health and Social Care (DHSC). The NIHR invests approximately £600M/year in research infrastructure2, which provides a platform to enable early stage and applied health research. The NIHR infrastructure provides research expertise, specialist facilities, a research delivery workforce and support services, all of which help to support and deliver the research we fund, and research funded by others.
The NIHR’s research delivery infrastructure is focused on supporting clinical trial delivery, whereas, its research infrastructure portfolio is made up of four schemes which span the innovation pathway from early phase experimental research through to clinical evaluation, implementation and adoption and spread. Our Biomedical Research Centres (BRCs)3 translate discovery research into clinical settings. They take innovations or interventions that have evidence of proof of concept and study translatability into NHS settings. Our Patient Safety Research Collaborations (PSRCs, and their precursor)4 evaluate patient safety for innovations and interventions for NHS use. The HealthTech Research Centres (HRCs, and their precursors)5 evaluate health technology based interventions for NHS use and our Applied Health and Social Care Collaborations (ARCs, and their precursor)6 focus on implementation science and evaluations in real-world settings to help build the evidence-base for scale up and roll-out within NHS settings.
The NIHR is committed to maximising the impact of the research we support and fund1 and therefore, it is crucial for the organisation to understand the mechanisms for the movement of research between these different pieces of research infrastructure and pathways to impact on the health and wealth of the nation. NIHR infrastructure funding can be used towards pump priming funding. However, it is largely aimed at supporting research and research delivery workforce roles which enable research to take place and career development. The research that is supported by NIHR infrastructure is typically either exclusively or partly funded by external funding. This makes attributing the impact of research projects to NIHR infrastructure difficult due to a lack of a direct, linear relationship between the infrastructure funding and specific projects in the majority of cases.
The Research Excellence Framework (REF)7 is a crucial data source for impact case studies for the NIHR because it is the UK’s exercise for evaluating the quality of research produced by Higher Education Institutes (HEIs), approximately every 7 years. HEIs produce independently evidenced impact case studies which have been underpinned by excellent research from the submitting HEI. Impact case studies that do not contain commercially or otherwise sensitive information are made publicly available at the end of the assessment exercise. The last REF exercise that had been conducted at the time of writing was in 2021.
The aim of this article is to share our approach to developing an understanding of pathways to impact, enablers and barriers and lessons learnt.
The REF 2021 impact case study dataset. The REF 2021 impact case study dataset was downloaded from the REF 2021 website8. At the time of download, there were 6,361 publicly available impact case studies. Each impact case study contains information on the summary of the impacts, the underpinning research, the details of the impacts and list of publications and sources of evidence of the impacts.
NIHR infrastructure publication data. Each year, NIHR infrastructure award holders submit annual reports to the NIHR. These contain information about publications that have been supported by the infrastructure. The publication data provided include a publication reference in the form of a publication citation as well as the associated Digital Object Identifiers (DOI). In some cases, Pubmed or Pubmed Central identifiers are provided instead of the DOI. Where an identifier is missing, the publication reference is used to query Pubmed to systematically source the relevant information. Publication identifiers are validated using Dimensions, Europe Pubmed Central and Pubmed.
Linking up REF data with NIHR infrastructure publication data. The list of publications section of the REF 2021 impact case studies could also be optionally used by HEIs to include information about funding for the underpinning research but we found that this option was inconsistently used across the HEIs. When used, we found that this optional element typically covered project funding for which a specific amount of funding was directly attributable to the project, which is not a feature of NIHR infrastructure funding. Therefore, we used the list of publications from the REF 2021 impact case studies to link the case studies to NIHR infrastructure support.
Additional citation analysis. Using forward and backward citation analysis9, as shown in Figure 1, we also traced the movement of research as follows:
Backward citations provide an indication of where research has been ‘pulled’ into the NIHR infrastructure from and forward citations provide an indication of where research from the NIHR infrastructure has been ‘pushed’ along the innovation pathway into further research or real-world settings.
We then ran ARC publications that had been underpinned by BRCs, PSRCs or HRCs through Overton10 to search for policy citations. The policy papers were manually coded to the following NIHR priority areas of interest:
NIHR case study development and validation. The REF 2021 impact case studies were coded to NIHR priority areas based on key word searches, for example ‘health inequalities’, ‘digital’, ‘digital health’, ‘artificial intelligence’, ‘workforce’ within the titles, impact summaries and details of the impact section. These were manually cross-checked. Case studies in our priority areas that had been supported by collaborative working across more than one infrastructure scheme were then selected for adaptation to create NIHR impact case studies to help us to understand how different pieces of infrastructure work together. We also developed impact cases studies in the four areas of policy interest based on ‘bodies of work’ involving multi-disciplinary researchers and research teams from different parts of NIHR research infrastructure. Semi-structured interviews were conducted with researchers or representatives of research teams and thematically analysed using inductive theming in order to understand how different pieces of NIHR infrastructure work together, enablers, barriers and challenges and evidence of impact. Any impact claims were validated using data sources that were independent of the researchers involved.
Patient and Public Involvement. Patients and the public were not involved in this research because it is not health research. The authors of this article work for the NIHR and have conducted this research on research to understand what is funded and supported by the NIHR, to provide transparency and accountability for the public money that the NIHR spends on research.
Of the 6,361 REF impact case studies that are publicly available, the NIHR infrastructure has supported 327 of which 59 are supported by more than one scheme. Figure 2 shows the numbers for how many REF impact case studies were supported by each type of NIHR infrastructure and where impact case studies were supported by just one infrastructure scheme. Figure 3 breaks the total number of REF impact case studies supported by NIHR infrastructure i.e 327 into the different types of impact, as classified by the REF dataset.
The interviews that formed part of the case study development process explored how different pieces of NIHR infrastructure work together, enablers and barriers for impact. This revealed five areas of strength in terms of how NIHR infrastructure delivers impact and areas for future work to better understand some of these mechanisms.
The first is strategic partnerships and collaborations between different pieces of NIHR infrastructure and how these help to move projects down the innovation pathway11. An example of this is a strategic partnership between the MindTech HRC12 and the SLaM BRC13. The BRC brings expertise in the early stage investigation of mechanisms that underpin new interventions or technologies. The HRC brings expertise in the evaluation of these interventions or technologies in NHS settings. By working together, these two pieces of infrastructure can ensure that minimal time and money is lost in developing products that won’t work in the NHS. This way of working is also called ‘fast failure’14 and enables the movement of interventions from bench to bedside quicker than the typical 10–15 year time lag between research and impact15.
The ability to embed research in the NHS is a key strength of NIHR infrastructure. An example of this is research16 by the Yorkshire and Humber PSRC which looked at the effects of wellbeing and burnout of healthcare professionals on patient safety. Prior to this research, the interest in NHS workforce resilience was primarily on retention and skills rather than wellbeing. The direct involvement of clinical and academic staff in research projects also means that clinical data that are not routinely collected can be monitored to help understand unmet needs but also build the evidence base for novel interventions.
The case study development process revealed close working relationships between the NIHR infrastructure, particularly the ARCs, and commissioners through the Health Innovation Networks (HINs)17. The HINs support the evaluation and implementation of innovations in the NHS to address specific challenges and foster economic growth. This allows NIHR infrastructure to build the evidence base for and push new interventions and technologies into the NHS but also pull ideas and interventions from the HINs to evaluate in various ways. An example of this is ARC North Thames which evaluated the benefits of co-locating welfare advice services in GP settings, demonstrating significant improvements in patient mental health and well-being, reaching those most in need and supporting healthcare staff. This directly led to services being retained in primary care settings in specific parts of England and roll-out nationally in Scotland18. Understanding the push/pull mechanisms between the NIHR infrastructure and the HINs and wider health and care system is an area for future work.
The next area of strength is core funding. NIHR infrastructure contracts tend to be at least five years in length which means that infrastructure centres have well developed patient and public involvement and engagement (PPIE)19, business development, and intellectual property management functions which enable early and seamless input but also the ability to quickly pivot towards addressing new or emerging health and care system needs. In the absence of these, external funding would need to be sought for specific projects which could cause administrative delays or lead to the ‘death’ of projects considered high risk or not in line with specific funder priorities. The infrastructure also has established mechanisms for sharing and linking with various databases and sources which enrich the research. Another area for future work is understanding why this ‘valley of death’20 exists for projects and what additional support can be provided to help.
The NIHR infrastructure supports PhD students, post-docs and other researchers from a range of disciplines and at different career stages, recruited to support specific projects. Core funding enables a greatly reduced reliance on external, short-term, precarious funding21 to attract and retain research talent. The buy-out of their time allows them to develop and explore new ideas, sometimes using seed funding from the infrastructure, to get them to a stage where external funding can be sought. Early career researchers also have opportunities to co-lead various initiatives in the PPIE or knowledge mobilisation space, for example, which helps with career development for succession planning within the infrastructure. The NIHR Academy22 provides training and support to health and care researchers at all stages of their careers to build national health and care research capacity and capability. Evaluating our capacity building programmes helps us to understand their value and further develop them to meet the dynamic needs of our workforce.
The interviews also revealed a specific need for more join up across the social care system, which is fragmented due to the fact that it is made up of several private organisations, commissioned to deliver NHS or community care services. This poses a challenge for adoption, implementation and downstream impacts on patients, due to the amount of time and costs of working with multiple stakeholders across the care system. Targeted funding to support researchers with policy- or implementation-ready research findings to work with multiple companies within the care system could help with this.
Publications are typically used to track what’s in a funding portfolio in terms of research areas but also reach of research through various altmetrics. The use of forward and backward citation analysis can also help research funders to understand how research is moving between different parts of their funding portfolios, pathways to impact and any gaps and opportunities. However, this does come with some challenges around data quality and timeliness, for example, which need mitigation.
The data are publicly available: REF 2021 impact case studies8. NIHR impact case studies23. Research publications can be accessed using databases such as Pubmed or Europe PMC. We have used Dimensions and Overton for altmetric analyses.
We would like to thank the NIHR teams that have contributed to the development of the thinking presented in this paper and our infrastructure awardees for completing our annual reports and for their time for interviews.
Faculty Opinions recommendedReferences
- 1. National Institute for Health and Care Research: Our impact vision. [Accessed December 2024]. Reference Source
- 2. National Institute of Health and Care Research: Investing in infrastructure. [Accessed December 2024]. Reference Source
- 3. National Institute of Health and Care Research: Biomedical research centres. [Accessed December 2024]. Reference Source
- 4. National Institute for Health and Care Research: Patient safety research collaborations. [Accessed December 2024]. Reference Source
- 5. National Institute of Health and Care Research: HealthTech research centres. [Accessed December 2024]. Reference Source
- 6. National Institute for Health and Care Research: Applied research collaborations. [Accessed December 2024]. Reference Source
- 7. Research Excellence Framework: Securing a world-class, dynamic and responsive research base across the full academic spectrum within UK higher education. January 2025. Reference Source
- 8. Research Excellence Framework: Impact case study database. January 2025. https://results2021.ref.ac.uk/impact
- 9. Haddaway NR, Grainger MJ, Gray CT: Citationchaser: a tool for transparent and efficient forward and backward citation chasing in systematic searching. Res Synth Methods Software Focus. 2022; 13(4): 533–545. PubMed Abstract | Publisher Full Text
- 10. Overton: We connect research with policy. [Accessed 2024]. Reference Source
- 11. Office for Life Sciences: A guide to navigating the innovation pathway in England. 2016. Reference Source
- 12. NIHR HealthTech Research Centre: Technology innovation for better mental health. MindTech. [Accessed January 2025]. Reference Source
- 13. NIHR Maudsley Biomedical Research Centre: Increased air pollution exposure during midlife may harm brain health as we age. [Accessed January 2025]. Reference Source
- 14. National Institute for Health and Care Research: FAST innovation to improve the health and wealth of the nation. [Accessed January 2025]. Reference Source
- 15. Research Impact Canada: 17 years from research to impact – is this true? [Accessed January 2025]. Reference Source
- 16. Prudenzi A, Graham CD, Flaxman PE, et al.: Wellbeing, burnout, and safe practice among healthcare professionals: predictive influences of mindfulness, values, and self-compassion. Psychol Health Med. 2022; 27(5): 1130–1143. PubMed Abstract | Publisher Full Text
- 17. Health Innovation Network: We are the health innovation adoption experts. [Accessed January 2025]. Reference Source
- 18. NIHR Applied Research Collaboration North Thames: The mental health, economic and societal benefits of co-locating welfare advice in primary care. [Accessed January 2025]. Reference Source
- 19. National Institute of Health and Care Research: NIHR announces new standards for public involvement in research. [Accessed January 2025]. Reference Source
- 20. Editorial: Traversing the valley of death. Nat Rev Bioeng. 2023; 1: 875. Publisher Full Text
- 21. University and College Union: New report exposes 'gig-economy' reality of prestigious university research departments. [Accessed January 2025]. Reference Source
- 22. National Institute of Health and Care Research: NIHR academy. Reference Source
- 23. National Institute for Health and Care Research: What we do. [Accessed December 2024]. https://www.nihr.ac.uk/our-research/stories?funding_programme%5BInfrastructure%5D=Infrastructure
Author details Author details
1 NIHR Infrastructure, National Institute of Health and Care Research, London, UK
Reetika Suri-Ogilvie
Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Supervision, Validation, Writing – Original Draft Preparation, Writing – Review & Editing
Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Supervision, Validation, Writing – Original Draft Preparation, Writing – Review & Editing
Sandra Hicks
Roles: Data Curation, Formal Analysis
Roles: Data Curation, Formal Analysis
Dominique Capostagno
Roles: Data Curation, Methodology, Writing – Review & Editing
Roles: Data Curation, Methodology, Writing – Review & Editing
Ashley Banks
Roles: Data Curation, Methodology, Writing – Review & Editing
Roles: Data Curation, Methodology, Writing – Review & Editing
Elena Ahmed
Roles: Data Curation, Formal Analysis
Roles: Data Curation, Formal Analysis
Kelly Makarona
Roles: Supervision, Writing – Review & Editing
Roles: Supervision, Writing – Review & Editing
Competing interests
The authors of this article work for the NIHR.
Grant information
The author(s) declared that no grants were involved in supporting this work.
Article Versions (3)
Copyright
© 2025 Suri-Ogilvie R et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Suri-Ogilvie R, Hicks S, Capostagno D et al. Gaining insights into a funding portfolio through publication tracking [version 3; peer review: 3 approved, 1 approved with reservations, 1 not approved]. NIHR Open Res 2025, 5:62 (https://doi.org/10.3310/nihropenres.14022.3)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
Version 3
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Heyard R. Reviewer Report For: Gaining insights into a funding portfolio through publication tracking [version 3; peer review: 3 approved, 1 approved with reservations, 1 not approved]. NIHR Open Res 2025, 5:62 (https://doi.org/10.3310/nihropenres.15436.r38755) The direct URL for this report is:
https://openresearch.nihr.ac.uk/articles/5-62/v3#referee-response-38755
https://openresearch.nihr.ac.uk/articles/5-62/v3#referee-response-38755
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.
Reviewer Report 07 Jan 2026
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The paper by Suri-Ogilvie presents an interesting analysis on the actual impact of the research infrastructure funded by NIHR. By linking data from the REF 2021 and data/information on publications of research supported by NIHR infrastucture (even if externally funded) ... Continue reading
I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above. Close
The paper by Suri-Ogilvie presents an interesting analysis on the actual impact of the research infrastructure funded by NIHR. By linking data from the REF 2021 and data/information on publications of research supported by NIHR infrastucture (even if externally funded) the authors bring an innovative / novel perspective to the impact of infrastructure funding. The linked dataset was then augmented via a foreward-backward citation search and a search for citations in policy documents (through Overton). On top of this already very interesting data and quantititative analysis, the authors also conducted interviews to better understand links between infrastructure funding and impact beyond publications.
While the data collected and linked by the authors is extremely rich and has great potential, the presented manuscript lacks transparency in crucial aspects of the methodology and the presentation of the results.
First of all, the semi-structured interviews, which seem to be crucial for the development of the case studies and take a center stage in the results are first mentioned on page 5, at the very end of the methods. There is no mention of interviews in the abstract or title or the data sources. Interview transcripts etc should in my opinion be seen as (qualitative) data. Specifically with respect to the interviews that were conducted the manuscript is lacking transparency. I'd recommend the authors have a look at a reporting guideline for research based on interviews (e.g., CREDES). How were researchers or representatives selected or found? Are these authors of the publications included in the bibliographic analysis, or other? How many interviews with how many researchers were conducted? Were they online or onsite? Who conducted the interviews? Was there an interview guide? Were interviews piloted? ETC. Further, a table or so with some descriptive statistics on both interviewers and interviewees is needed (e.g., ECRs or established researchers? disciplines represented? ...)
Also for the bibliographic data analysis I am missing transparency - I personally would not be able to reproduce the analysis. For example, the authors need to provide dates of access of the various datasets, since they seem to be "living", i.e., updated regularly. For the backward and forward citation, it should say in the methods that the search was done within Dimensions; and I would have like to find the list of initial DOIs somewhere, and again importantly the date of the search - which would today already give different results for the forward part. The same goes for Overton, possibly also the search string that was used. For the keyword search conducted on titles etc of the REF impact case studies, I would like to see the whole list of keywords somewhere (if it is long, in an appendix) and not just a selection.
As for the presentation of the results, the discussion of the quantitative analysis is very limited. I would have expected some sort of plot / diagram showing the linkage of the different data sources (maybe a sankey plot or similar?). Figure 2, for me, is non sensical - what data is represented here? It is not the 327 case studies, right? since then, the numbers do not add up. I could not find any mention of the policy paper analysis in the results - or at least I could not understand how they contributed to the results.
The discussion then continues with a long presentation of case studies - but it is unclear how they came together from the presented methodology. It therefore reads a bit like cherry picked stories and henceforth not very trustworth.
All in all, I find that the data and the idea presented by the authors have a lot of potential - I however am less convinced with the execution, mainly because the quality of the reporting and the transparency leave lots of open questions.
While the data collected and linked by the authors is extremely rich and has great potential, the presented manuscript lacks transparency in crucial aspects of the methodology and the presentation of the results.
First of all, the semi-structured interviews, which seem to be crucial for the development of the case studies and take a center stage in the results are first mentioned on page 5, at the very end of the methods. There is no mention of interviews in the abstract or title or the data sources. Interview transcripts etc should in my opinion be seen as (qualitative) data. Specifically with respect to the interviews that were conducted the manuscript is lacking transparency. I'd recommend the authors have a look at a reporting guideline for research based on interviews (e.g., CREDES). How were researchers or representatives selected or found? Are these authors of the publications included in the bibliographic analysis, or other? How many interviews with how many researchers were conducted? Were they online or onsite? Who conducted the interviews? Was there an interview guide? Were interviews piloted? ETC. Further, a table or so with some descriptive statistics on both interviewers and interviewees is needed (e.g., ECRs or established researchers? disciplines represented? ...)
Also for the bibliographic data analysis I am missing transparency - I personally would not be able to reproduce the analysis. For example, the authors need to provide dates of access of the various datasets, since they seem to be "living", i.e., updated regularly. For the backward and forward citation, it should say in the methods that the search was done within Dimensions; and I would have like to find the list of initial DOIs somewhere, and again importantly the date of the search - which would today already give different results for the forward part. The same goes for Overton, possibly also the search string that was used. For the keyword search conducted on titles etc of the REF impact case studies, I would like to see the whole list of keywords somewhere (if it is long, in an appendix) and not just a selection.
As for the presentation of the results, the discussion of the quantitative analysis is very limited. I would have expected some sort of plot / diagram showing the linkage of the different data sources (maybe a sankey plot or similar?). Figure 2, for me, is non sensical - what data is represented here? It is not the 327 case studies, right? since then, the numbers do not add up. I could not find any mention of the policy paper analysis in the results - or at least I could not understand how they contributed to the results.
The discussion then continues with a long presentation of case studies - but it is unclear how they came together from the presented methodology. It therefore reads a bit like cherry picked stories and henceforth not very trustworth.
All in all, I find that the data and the idea presented by the authors have a lot of potential - I however am less convinced with the execution, mainly because the quality of the reporting and the transparency leave lots of open questions.
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Is the work clearly and accurately presented and does it cite the current literature?
Partly
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Is the study design appropriate and is the work technically sound?
No
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Are sufficient details of methods and analysis provided to allow replication by others?
No
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If applicable, is the statistical analysis and its interpretation appropriate?
Not applicable
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Are all the source data underlying the results available to ensure full reproducibility?
No
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Are the conclusions drawn adequately supported by the results?
Partly