Summary statistics for best-fit models from NSERC Discovery Grant proposal funding success and award outcomes (2011–2014) for established researchers.
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posted on 2016-06-03, 11:48 authored by Dennis L. Murray, Douglas Morris, Claude Lavoie, Peter R. Leavitt, Hugh MacIsaac, Michael E. J. Masson, Marc-Andre VillardThe variables include years, institution size, and applicant status (established researcher not holding grant (ER-NHG)). The evaluation metrics reflect researcher accomplishments (Excellence of the Researcher, EoR), research proposal (Merit of the Proposal, MoP), and training record and opportunities (High Quality Personnel, HQP).
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Such measuresresearch grant proposal success rateapplicant experience levelssupport objectivefunding successresearch proposalsscore grant proposalsSmall Universities Federal fundingresearch councilsgrant applicationsfunding success ratesbibliometric assessmentfunding levelResearch Grant EvaluationNSERCresearch successgrant proposal evaluationEngineering Research CouncilinstitutionDire Consequencesbiasfuture science fundingscience funding decisionsgraduate programming opportunitiesgrant amountsaddress evaluation
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