Scientific Data (Aug 2023)

Clinical trial data sharing: a cross-sectional study of outcomes associated with two U.S. National Institutes of Health models

  • Anisa Rowhani-Farid,
  • Mikas Grewal,
  • Steven Solar,
  • Allen O. Eghrari,
  • Audrey D. Zhang,
  • Cary P. Gross,
  • Harlan M. Krumholz,
  • Joseph S. Ross

DOI
https://doi.org/10.1038/s41597-023-02436-0
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 8

Abstract

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Abstract The impact and effectiveness of clinical trial data sharing initiatives may differ depending on the data sharing model used. We characterized outcomes associated with models previously used by the U.S. National Institutes of Health (NIH): National Heart, Lung, and Blood Institute’s (NHLBI) centralized model and National Cancer Institute’s (NCI) decentralized model. We identified trials completed in 2010–2013 that met NIH data sharing criteria and matched studies based on cost and/or size, determining whether trial data were shared, and for those that were, the frequency of secondary internal publications (authored by at least one author from the original research team) and shared data publications (authored by a team external to the original research team). We matched 77 NHLBI-funded trials to 77 NCI-funded trials; among these, 20 NHLBI-sponsored trials (26%) and 4 NCI-sponsored trials (5%) shared data (OR 6.4, 95% CI: 2.1, 19.8). From the 4 NCI-sponsored trials sharing data, we identified 65 secondary internal and 2 shared data publications. From the 20 NHLBI-sponsored trials sharing data, we identified 188 secondary internal and 53 shared data publications. The NHLBI’s centralized data sharing model was associated with more trials sharing data and more shared data publications when compared with the NCI’s decentralized model.