Funding Analytics: Special Studies

The Canadian Institutes of Health Research (CIHR) is committed to undertaking meaningful analyses to improve the delivery of its programs and create greater transparency and accountability. This section provides an overview of the large-scale analyses that the CIHR is currently undertaking or considering undertaking.

This queue is in response to the community’s request to be made aware of what collaborative efforts CIHR is exploring and whether there is common interest between researchers. Please see the Recommendations for Enhanced Sharing of Competition Results Data (link to shortened briefing note/feedback form) for more information.

Project Title Lead Description Status Highlights
(if available)
Female grant applicants are equally successful when reviewers assess the science, but not when they assess the scientist Holly Witteman, Laval University  Using the natural quasi-experiment created by recent grant program changes at the Canadian Institutes of Health Research (CIHR), this study investigates the success rates of men versus women in grant programs with different assessment criteria; more specifically, the strongest predictors of funding success and level, how strongly the applicant's gender predicts funding success and level,  and if gender differences in funding success and level can be explained by other factors.
Within-Sex Differences in Application and Success Rates Across 15 Years of the CIHR: Open Operating Grants and Early Career Award Competitions Karen Burns, St. Michael's Hospital The objective of this study is to summarize within-sex differences in application and success rates across 15 years of the Open Operating Grant Program (OOGP) and Early Career Award competitions. With the NPI's declared primary institute as the unit analysis, a combination of descriptive and nonparametric statistics will be used to explore trends and within-sex differences. Complete  
The Impact of Leaves on Funding

Holly Witteman, Laval University

Robyn Tamblyn, McGill University

The objective of this study is to understand how the various types of leaves impact funding. Specifically, this study will explore the changes in grant/award success rates, application scores or overall percentile, and frequency of applications. In Progress
Analytical Plan – Funding Strategy in Investigator-Initiated Programs Matthew Hogel, Funding Analytics, CIHR The objective of this on-going analysis is to explore what funding strategies might best allow CIHR to achieve its mandate to excel in the creation of new knowledge and its translation into improved health for Canadians In Progress
Analytical Plan – Best Practices in Peer Review Eric van Dongen, Funding Analytics, CIHR The Funding Analytics team carries out analyses to assess the efficiency of its peer review process and its relationship to CIHR’s overall funding strategy, given the significant cost of peer review to CIHR as well as the lost research productivity to reviewers, applicants and their institutions. In Progress
Analytical Plan – Development of Best Practices for Keyword Searches and Research Classification Richard Snell, Funding Analytics, CIHR As keyword searches are currently the primary mechanism to identify applications by topic, these analyses aim to identify additional methodologies to enhance CIHR’s ability to respond to these requests for information in a comprehensive and reproducible manner. In Progress
Analytical Plan – Equity Within the Health Research Enterprise Michelle Loranger, Funding Analytics, CIHR These analyses focus on determining the key drivers of differential success rates, requested budget amounts, approved budget amounts and grant duration for various demographics to CIHR’s Grants Programs from 2000/01 to present. In Progress
Analytical Plan – Indigenous Health Research Richard Snell, Funding Analytics, CIHR The Analytics Team is committed to working with IIPH and the Indigenous Health Research WG to find ways to more easily identify Indigenous health research applications in a manner that is useful to these groups, as CIHR moves ahead with its enhanced commitment for support of research in this important area. In Progress

Please note, this queue does not include internal and external ad-hoc data requests. Data analyses requests are prioritized based on need and capacity.

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