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Setting the standard for high-quality studies using open health datasets

Author

Listed:
  • Andreia Cunha
  • Suzanne de Bruijn
  • Alison Farrell
  • Helen Lumbard
  • Alexandra Tosun
  • Daniel Routledge

Abstract

Large open health datasets present unique opportunities for studies that when well-designed, conducted, and reported, can offer valuable contributions to health and medicine. However, recent years have seen a concerning proliferation of analyses lacking robust or novel findings. In this Editorial, we provide guidance to authors for conducting and reporting high-quality secondary analyses using these datasets.Large open health datasets present unique opportunities for studies that when well-designed, conducted, and reported, can offer valuable contributions to health and medicine. However, recent years have seen a concerning proliferation of analyses lacking robust or novel findings. This Editorial provides guidance to authors for conducting and reporting high quality secondary analyses using these datasets.

Suggested Citation

  • Andreia Cunha & Suzanne de Bruijn & Alison Farrell & Helen Lumbard & Alexandra Tosun & Daniel Routledge, 2025. "Setting the standard for high-quality studies using open health datasets," PLOS Medicine, Public Library of Science, vol. 22(12), pages 1-4, December.
    • Handle: RePEc:plo:pmed00:1004854
    DOI: 10.1371/journal.pmed.1004854
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