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Funding decisions, peer review, and scientific excellence in physical sciences, chemistry, and geosciences

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  • Thed N. van Leeuwen
  • Henk F. Moed

Abstract

This article presents an analysis of the funding policies of three research councils at the Netherlands Organization for Scientific Research (NWO). The key issue is the extent to which these three councils recognized scientific excellence, and particularly, whether they succeeded in rewarding the grants of the most successful and influential researchers. Data on grant applications provided by NWO for the time period 2000--4 were combined with bibliometric indicators of past research performance of applicants and non-applicants derived from Thomson Reuters' Web of Science. It is found that the three councils did support scientific excellence, in the following sense. Firstly, they tend to attract research proposals from the better groups in the fields they cover. Secondly, the applicants whose submitted proposals were granted--and the research groups they represent--tend to generate a higher citation impact at their international research fronts than those whose submissions were rejected. Although there are some differences in the outcomes among the three councils, this conclusion is valid for each council. On the other hand, for applicants with more than three granted applications we observed a rather variable pattern: in one council these performed at the same level as researchers whose applications were all rejected; in another council these applicants outperformed the rejected applicants; and in another council the number of applicants with more than three granted applications was very small. Copyright The Author 2012. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com, Oxford University Press.

Suggested Citation

  • Thed N. van Leeuwen & Henk F. Moed, 2012. "Funding decisions, peer review, and scientific excellence in physical sciences, chemistry, and geosciences," Research Evaluation, Oxford University Press, vol. 21(3), pages 189-198, August.
  • Handle: RePEc:oup:rseval:v:21:y:2012:i:3:p:189-198
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    File URL: http://hdl.handle.net/10.1093/reseval/rvs009
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    Citations

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    Cited by:

    1. Huang, Ding-wei, 2021. "A basic model for empirical funding distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    2. Kevin W. Boyack & Caleb Smith & Richard Klavans, 2018. "Toward predicting research proposal success," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 449-461, February.
    3. van den Besselaar, Peter & Sandström, Ulf, 2015. "Early career grants, performance, and careers: A study on predictive validity of grant decisions," Journal of Informetrics, Elsevier, vol. 9(4), pages 826-838.
    4. Sabrina Petersohn & Thomas Heinze, 2018. "Professionalization of bibliometric research assessment. Insights from the history of the Leiden Centre for Science and Technology Studies (CWTS)," Science and Public Policy, Oxford University Press, vol. 45(4), pages 565-578.
    5. Andrea Bonaccorsi & Luca Secondi, 2017. "The determinants of research performance in European universities: a large scale multilevel analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1147-1178, September.
    6. Huang, Ding-wei, 2018. "Optimal distribution of science funding," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 613-618.
    7. Fabio S. V. Silva & Peter A. Schulz & Everard C. M. Noyons, 2019. "Co-authorship networks and research impact in large research facilities: benchmarking internal reports and bibliometric databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 93-108, January.

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