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Toward predicting research proposal success
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DOI：10.1007/s11192-017-2609-2.png)
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摘要
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Citation analysis and discourse analysis of 369 R01 NIH proposals are used to discover possible predictors of proposal success. We focused on two issues: the Matthew effect in science-Merton's claim that eminent scientists have an inherent advantage in the competition for funds-and quality of writing or clarity. Our results suggest that a clearly articulated proposal is more likely to be funded than a proposal with lower quality of discourse. We also find that proposal success is correlated with a high level of topical overlap between the proposal references and the applicant's prior publications. Implications associated with the analysis of proposal data are discussed.
Keyword:
Research proposal analytics
Funding success prediction
Discourse analysis
Citation analysis
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