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Research funding: past performance is a stronger predictor of future scientific output than reviewer scores

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  • Győrffy, Balázs
  • Herman, Péter
  • Szabó, István

Abstract

Scientific grants are awarded almost exclusively on the basis of an independent peer review of a proposal submitted by the principal investigator (PI). The writing and reviewing of these applications consumes a significant amount of researchers’ time. Here, we perform a large-scale performance evaluation of review-based grant allocation via analysis of the grant proposals submitted to the Hungarian Scientific Research Fund.

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  • Győrffy, Balázs & Herman, Péter & Szabó, István, 2020. "Research funding: past performance is a stronger predictor of future scientific output than reviewer scores," Journal of Informetrics, Elsevier, vol. 14(3).
    • Handle: RePEc:eee:infome:v:14:y:2020:i:3:s1751157719303694
    DOI: 10.1016/j.joi.2020.101050
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    References listed on IDEAS

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    1. Auranen, Otto & Nieminen, Mika, 2010. "University research funding and publication performance--An international comparison," Research Policy, Elsevier, vol. 39(6), pages 822-834, July.
    2. Payne A. Abigail & Siow Aloysius, 2003. "Does Federal Research Funding Increase University Research Output?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 3(1), pages 1-24, May.
    3. Ashish Arora & Alfonso Gambardella, 2010. "The Impact of NSF Support for Basic Research in Economics," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 91-115, National Bureau of Economic Research, Inc.
    4. Vincent Larivière & Rodrigo Costas, 2016. "How Many Is Too Many? On the Relationship between Research Productivity and Impact," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-10, September.
    5. Lindell Bromham & Russell Dinnage & Xia Hua, 2016. "Interdisciplinary research has consistently lower funding success," Nature, Nature, vol. 534(7609), pages 684-687, June.
    6. Stephen A Gallo & Joanne H Sullivan & Scott R Glisson, 2016. "The Influence of Peer Reviewer Expertise on the Evaluation of Research Funding Applications," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-18, October.
    7. Sandström, Ulf & Van den Besselaar, Peter, 2018. "Funding, evaluation, and the performance of national research systems," Journal of Informetrics, Elsevier, vol. 12(1), pages 365-384.
    8. Jacob, Brian A. & Lefgren, Lars, 2011. "The impact of research grant funding on scientific productivity," Journal of Public Economics, Elsevier, vol. 95(9), pages 1168-1177.
    9. 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.
    10. Kevin W. Boyack & Caleb Smith & Richard Klavans, 2018. "Toward predicting research proposal success," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 449-461, February.
    11. Wang, Derek D., 2019. "Performance-based resource allocation for higher education institutions in China," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 66-75.
    12. repec:nas:journl:v:115:y:2018:p:4887-4890 is not listed on IDEAS
    13. Matthew RE Symonds & Neil J Gemmell & Tamsin L Braisher & Kylie L Gorringe & Mark A Elgar, 2006. "Gender Differences in Publication Output: Towards an Unbiased Metric of Research Performance," PLOS ONE, Public Library of Science, vol. 1(1), pages 1-5, December.
    14. van den Besselaar, Peter & Heyman, Ulf & Sandström, Ulf, 2017. "Perverse effects of output-based research funding? Butler’s Australian case revisited," Journal of Informetrics, Elsevier, vol. 11(3), pages 905-918.
    15. Balázs Győrffy & Andrea Magda Nagy & Péter Herman & Ádám Török, 2018. "Factors influencing the scientific performance of Momentum grant holders: an evaluation of the first 117 research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 409-426, October.
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    More about this item

    Keywords

    Funding; Reviewer assessments; Basic research; Publications; Scientific output; Q1; H-index; Internationalization;
    All these keywords.

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

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