Here, we use recent U.S. National Institutes of Health (NIH) data to document trends in the NIH-funded workforce over time. Consistent with previous studies that were initiated by NIH, we find that the number of scientists funded on competing R01-equivalent (R01 Eq.) and research project grants (RPGs) increased 2-5% per year between 2009 and 2016. Primary beneficiaries of this growth were experienced investigators (Exp), whereas the share of funding awarded to early-stage investigators (ESIs) and new investigators (NIs) declined. The decline occurred even after NIH instituted the New and Early-Stage Investigator policy in 2009. When we evaluate the investigator pool, we find that women and racial and ethnic minorities represent a higher percentage of NIs and ESIs relative to Exp. Thus, trends of diminishing support for NIs and ESIs may negatively impact the diversity of the current and future biomedical research workforce. We find some recent gains among women and Hispanics as part of the applicant and awardee pool for both R01 Eq. and RPGs, but significant, large gaps persist among nationally underrepresented racial minorities. Our findings suggest a need to prioritize investments and support of ESIs and NIs, groups in which women and racial and ethnic minorities represent a larger proportion of the applicant pool, to enhance diversity in the NIH-funded workforce.-Nikaj, S., Roychowdhury, D., Lund, P. K., Matthews, M., Pearson, K. Examining trends in the diversity of the U.S. National Institutes of Health participating and funded workforce.
Understanding the factors associated with successful funding outcomes of research project grant (R01) applications is critical for the biomedical research community. R01 applications are evaluated through the National Institutes of Health (NIH) peer review system, where peer reviewers are asked to evaluate and assign scores to five research criteria when assessing an application’s scientific and technical merit. This study examined the relationship of the five research criterion scores to the Overall Impact score and the likelihood of being funded for over 123,700 competing R01 applications for fiscal years 2010 through 2013. The relationships of other application and applicant characteristics, including demographics, to scoring and funding outcomes were studied as well. The analyses showed that the Approach and, to a lesser extent, the Significance criterion scores were the main predictors of an R01 application’s Overall Impact score and its likelihood of being funded. Applicants might consider these findings when submitting future R01 applications to NIH.
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