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Evaluation of research proposals by peer review panels: broader panels for broader assessments?

Author

Listed:
  • Rebecca Abma-Schouten
  • Joey Gijbels
  • Wendy Reijmerink
  • Ingeborg Meijer

Abstract

Panel peer review is widely used to decide which research proposals receive funding. Through this exploratory observational study at two large biomedical and health research funders in the Netherlands, we gain insight into how scientific quality and societal relevance are discussed in panel meetings. We explore, in ten review panel meetings of biomedical and health funding programmes, how panel composition and formal assessment criteria affect the arguments used. We observe that more scientific arguments are used than arguments related to societal relevance and expected impact. Also, more diverse panels result in a wider range of arguments, largely for the benefit of arguments related to societal relevance and impact. We discuss how funders can contribute to the quality of peer review by creating a shared conceptual framework that better defines research quality and societal relevance. We also contribute to a further understanding of the role of diverse peer review panels.

Suggested Citation

  • Rebecca Abma-Schouten & Joey Gijbels & Wendy Reijmerink & Ingeborg Meijer, 2023. "Evaluation of research proposals by peer review panels: broader panels for broader assessments?," Science and Public Policy, Oxford University Press, vol. 50(4), pages 619-632.
    • Handle: RePEc:oup:scippl:v:50:y:2023:i:4:p:619-632.
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    References listed on IDEAS

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    1. Hendy Abdoul & Christophe Perrey & Philippe Amiel & Florence Tubach & Serge Gottot & Isabelle Durand-Zaleski & Corinne Alberti, 2012. "Peer Review of Grant Applications: Criteria Used and Qualitative Study of Reviewer Practices," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-15, September.
    2. Reed, M.S. & Ferré, M. & Martin-Ortega, J. & Blanche, R. & Lawford-Rolfe, R. & Dallimer, M. & Holden, J., 2021. "Evaluating impact from research: A methodological framework," Research Policy, Elsevier, vol. 50(4).
    3. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    4. Pleun van Arensbergen & Inge van der Weijden & Peter van den Besselaar, 2014. "The selection of talent as a group process. A literature review on the social dynamics of decision making in grant panels," Research Evaluation, Oxford University Press, vol. 23(4), pages 298-311.
    5. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    6. Junwen Luo & Lai Ma & Kalpana Shankar, 2021. "Does the inclusion of non-academic reviewers make any difference for grant impact panels? [Understanding the Long Term Impact of the Framework Programme, European Policy Evaluation Consortium (EPEC," Science and Public Policy, Oxford University Press, vol. 48(6), pages 763-775.
    7. Peter Weingart, 1999. "Scientific expertise and political accountability: paradoxes of science in politics," Science and Public Policy, Oxford University Press, vol. 26(3), pages 151-161, June.
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