bioRxivBioinformaticsPreprint
nihexporter: an R package for NIH funding data
Jay Hesselberth, Erin Baschal, Nick Ellinwood, Ashley Pacheco, Sally Peach, Mary Sweet, Yuying Wang
Abstract
11.1 MotivationThe National Institutes of Health (NIH) is the major source of federal funding for biomedical research in the United States. Analysis of past and current NIH funding can illustrate funding trends and identify productive research topics, but these analyses are conducted ad hoc by the institutes themselves and only provide a small glimpse of the available data. The NIH provides free access to funding data via NIH EXPORTER, but no tools have been developed to enable analysis of this data.\n\n1.2 ResultsWe developed the nihexporter R package, which provides access to NIH EXPORTER data. We used the package to develop several analysis vignettes that show funding trends across NIH institutes over 15 years and highlight differences in how institutes change their funding profiles. Investigators and institutions can use the package to perform self-studies of their own NIH funding.\n\n1.3 AvailabilityThe nihexporter R package can be installed via github.\n\n1.4 ImplementationThe nihexporter package is implemented in the R Statistical Computing Environment.\n\n1.5 ContactJay Hesselberth jay.hesselberth@gmail.com, University of Colorado School of Medicine
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Academic Tracker: Software for Tracking and Reporting Publications Associated with Authors and Grants
P. Travis Thompson, Christian D. Powell, Hunter Moseley·PLoS ONEPeer-reviewed·Nov 18, 2022
- Inequalities in the Distribution of National Institutes of Health Research Project Grant Funding
M. S. Lauer, D. Roychowdhury·bioRxiv·Jun 24, 2021
- Award or Reward? Which comes first, NIH funding or research impact?
Lucas C. Parra, Lukas Hirsch·bioRxiv·Sep 26, 2017
- Absolute and Relative Declines in National Institutes of Health (NIH) Funded Basic Science Publications
Michael S. Lauer·bioRxiv·Jul 15, 2025
- BiocPkgTools: Toolkit for Mining the Bioconductor Package Ecosystem
Shian Su, Vincent J. Carey, … Sean R. Davis·F1000ResearchPeer-reviewed·May 29, 2019
- Modeling Research Project Grant Success Rates from NIH Appropriation History: Extension to 2020
J. Berg·bioRxiv·Nov 25, 2020