Competing for research funding: Key elements impacting the evaluation of grant proposal

As funding is one of the key pillars of research activity, identifying the factors that impact the evaluation results in research funding competitions remains challenging, due to the heterogeneity of funding instruments. In this context, our study aims to identify the elements that ensure the application's success, comparing two perspectives: one of the applicant and the other based on the evaluation grid. The empirical investigation focuses on a survey of 243 Romanian researchers. As analysis methods, we use a binary logistic regression model to correlate the success in funding competitions for research projects with a set of factors considered determinants. The results show that the researcher's past performance influences the proposal's future performance/success, with the quality of the project director's previous publications, and its international visibility being the key drivers of successful research project applications.

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Publication Details

Journal
Heliyon
Published
2024-08-01
DOI
https://doi.org/10.1016/j.heliyon.2024.e36015
Citations
1
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.46

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article

Competing for research funding: Key elements impacting the evaluation of grant proposal

Anca-Diana Bibiri, Valentina Diana Rusu, Mihaela Mocanu
1 citations
Heliyon
scientometrics and bibliometrics research
0.46
article

Competing for research funding: Key elements impacting the evaluation of grant proposal

Anca-Diana Bibiri, Valentina Diana Rusu, Mihaela Mocanu
article en
1 citations

Abstract

As funding is one of the key pillars of research activity, identifying the factors that impact the evaluation results in research funding competitions remains challenging, due to the heterogeneity of funding instruments. In this context, our study aims to identify the elements that ensure the application's success, comparing two perspectives: one of the applicant and the other based on the evaluation grid. The empirical investigation focuses on a survey of 243 Romanian researchers. As analysis methods, we use a binary logistic regression model to correlate the success in funding competitions for research projects with a set of factors considered determinants. The results show that the researcher's past performance influences the proposal's future performance/success, with the quality of the project director's previous publications, and its international visibility being the key drivers of successful research project applications.

HeliyonVol. 10(16)
Alexandru Ioan Cuza University (RO)
Ministerul Cercetării, Inovării şi Digitalizării, Race and Difference Initiative, Emory University
Partnerships for the goals
Openalex Percentile: Top 29%
scientometrics and bibliometrics research
0.46
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