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      What do we know about grant peer review in the health sciences?

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          Abstract

          Background: Peer review decisions award an estimated >95% of academic medical research funding, so it is crucial to understand how well they work and if they could be improved.

          Methods: This paper summarises evidence from 105 papers identified through a literature search on the effectiveness and burden of peer review for grant funding.

          Results: There is a remarkable paucity of evidence about the efficiency of peer review for funding allocation, given its centrality to the modern system of science. From the available evidence, we can identify some conclusions around the effectiveness and burden of peer review.

          The strongest evidence around effectiveness indicates a bias against innovative research. There is also fairly clear evidence that peer review is, at best, a weak predictor of future research performance, and that ratings vary considerably between reviewers. There is some evidence of age bias and cronyism.

          Good evidence shows that the burden of peer review is high and that around 75% of it falls on applicants. By contrast, many of the efforts to reduce burden are focused on funders and reviewers/panel members.

          Conclusions: We suggest funders should acknowledge, assess and analyse the uncertainty around peer review, even using reviewers’ uncertainty as an input to funding decisions. Funders could consider a lottery element in some parts of their funding allocation process, to reduce both burden and bias, and allow better evaluation of decision processes. Alternatively, the distribution of scores from different reviewers could be better utilised as a possible way to identify novel, innovative research. Above all, there is a need for open, transparent experimentation and evaluation of different ways to fund research. This also requires more openness across the wider scientific community to support such investigations, acknowledging the lack of evidence about the primacy of the current system and the impossibility of achieving perfection.

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          Most cited references125

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          GRADE: an emerging consensus on rating quality of evidence and strength of recommendations.

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            The answer is 17 years, what is the question: understanding time lags in translational research

            This study aimed to review the literature describing and quantifying time lags in the health research translation process. Papers were included in the review if they quantified time lags in the development of health interventions. The study identified 23 papers. Few were comparable as different studies use different measures, of different things, at different time points. We concluded that the current state of knowledge of time lags is of limited use to those responsible for R&D and knowledge transfer who face difficulties in knowing what they should or can do to reduce time lags. This effectively ‘blindfolds’ investment decisions and risks wasting effort. The study concludes that understanding lags first requires agreeing models, definitions and measures, which can be applied in practice. A second task would be to develop a process by which to gather these data.
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              Understanding current causes of women's underrepresentation in science

              Explanations for women's underrepresentation in math-intensive fields of science often focus on sex discrimination in grant and manuscript reviewing, interviewing, and hiring. Claims that women scientists suffer discrimination in these arenas rest on a set of studies undergirding policies and programs aimed at remediation. More recent and robust empiricism, however, fails to support assertions of discrimination in these domains. To better understand women's underrepresentation in math-intensive fields and its causes, we reprise claims of discrimination and their evidentiary bases. Based on a review of the past 20 y of data, we suggest that some of these claims are no longer valid and, if uncritically accepted as current causes of women's lack of progress, can delay or prevent understanding of contemporary determinants of women's underrepresentation. We conclude that differential gendered outcomes in the real world result from differences in resources attributable to choices, whether free or constrained, and that such choices could be influenced and better informed through education if resources were so directed. Thus, the ongoing focus on sex discrimination in reviewing, interviewing, and hiring represents costly, misplaced effort: Society is engaged in the present in solving problems of the past, rather than in addressing meaningful limitations deterring women's participation in science, technology, engineering, and mathematics careers today. Addressing today's causes of underrepresentation requires focusing on education and policy changes that will make institutions responsive to differing biological realities of the sexes. Finally, we suggest potential avenues of intervention to increase gender fairness that accord with current, as opposed to historical, findings.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data CurationRole: Formal AnalysisRole: Funding AcquisitionRole: InvestigationRole: MethodologyRole: Project AdministrationRole: SupervisionRole: ValidationRole: Writing – Original Draft PreparationRole: Writing – Review & Editing
                Role: Data CurationRole: Formal AnalysisRole: InvestigationRole: Project AdministrationRole: Writing – Original Draft Preparation
                Role: ConceptualizationRole: Formal AnalysisRole: Funding AcquisitionRole: InvestigationRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – Original Draft PreparationRole: Writing – Review & Editing
                Journal
                F1000Res
                F1000Res
                F1000Research
                F1000Research
                F1000 Research Limited (London, UK )
                2046-1402
                27 March 2018
                2017
                : 6
                : 1335
                Affiliations
                [1 ]RAND Europe, Westbrook Centre, Milton Road, Cambridge, UK
                [2 ]Centre for Science and Policy, University of Cambridge, Cambridge, UK
                [1 ]Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Qld, Australia
                [1 ]Structural Genomics Consortium, University of Toronto, Toronto, ON, Canada
                University of Cambridge, UK
                [1 ]Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Qld, Australia
                University of Cambridge, UK
                Author notes

                Competing interests: No competing interests were disclosed.

                Competing interests: I have had e-mail and Skype conversations with Steve Wooding about potential further research in funding peer review.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Competing interests: In the past few years I have had one Skype conversation and around 10 email conversations with Steve Wooding about the peer review process for funding applications.

                Competing interests: No competing interests were disclosed.

                Author information
                https://orcid.org/0000-0002-8036-1054
                Article
                10.12688/f1000research.11917.2
                5883382
                29707193
                c3b129bb-4eb5-408c-a70b-2534de6ace69
                Copyright: © 2018 Guthrie S et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 March 2018
                Funding
                Funded by: Canadian Institutes of Health Research
                This report was produced with funding from the Canadian Institutes of Health Research.
                Categories
                Review
                Articles
                Publishing & Peer Review

                peer review,grant awarding,funding allocation,grant reviewing

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