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Ten (not so) simple rules for clinical trial data-sharing.

Claude PellenAnne Le LouarnGilliosa Spurrier-BernardEvelyne DecullierJean-Marie ChrétienEric RosenthalGérard Le GoffDavid MoherJohn P A IoannidisFlorian Naudet
Published in: PLoS computational biology (2023)
Clinical trial data-sharing is seen as an imperative for research integrity and is becoming increasingly encouraged or even required by funders, journals, and other stakeholders. However, early experiences with data-sharing have been disappointing because they are not always conducted properly. Health data is indeed sensitive and not always easy to share in a responsible way. We propose 10 rules for researchers wishing to share their data. These rules cover the majority of elements to be considered in order to start the commendable process of clinical trial data-sharing: Rule 1: Abide by local legal and regulatory data protection requirementsRule 2: Anticipate the possibility of clinical trial data-sharing before obtaining fundingRule 3: Declare your intent to share data in the registration stepRule 4: Involve research participantsRule 5: Determine the method of data accessRule 6: Remember there are several other elements to shareRule 7: Do not proceed aloneRule 8: Deploy optimal data management to ensure that the data shared is usefulRule 9: Minimize risksRule 10: Strive for excellence.
Keyphrases
  • electronic health record
  • clinical trial
  • big data
  • healthcare
  • public health
  • health information
  • randomized controlled trial
  • machine learning
  • open label
  • risk assessment
  • double blind
  • deep learning