What makes or breaks competitive research proposals? A mixed-methods analysis of research grant evaluation reports (CROSBI ID 317983)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Hren, Darko ; Pina, David G. ; Norman, Christopher R. ; Marušić, Ana
engleski
What makes or breaks competitive research proposals? A mixed-methods analysis of research grant evaluation reports
The evaluation of grant proposals is an essential aspect of competitive research funding. Funding bodies and agencies rely in many instances on external peer reviewers for grant assessment. Most of the research available is about quantitative aspects of this assessment, and there is little evidence from qualitative studies. We used a combination of machine learning and qualitative analysis methods to analyse the reviewers' comments in evaluation reports from 3667 grant applications to the Initial Training Networks (ITN) of the Marie Curie Actions under the Seventh Framework Programme (FP7). Our results show that the reviewers' comments for each evaluation criterion were aligned with the Action's prespecified criteria and that the evaluation outcome was more influenced by the proposals' weaknesses than by their strengths.
European Commission ; Machine learning ; Marie Curie Actions ; Peer review outcome ; Qualitive analysis ; Research grants
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Podaci o izdanju
16 (2)
2022.
101289
17
objavljeno
1751-1577
1875-5879
10.1016/j.joi.2022.101289
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo