1. Meta-research studies should improve and evaluate their own data sharing practices
- Author
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Ioana A. Cristea, Florian Naudet, Laura Caquelin, Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS), Università degli Studi di Pavia = University of Pavia (UNIPV), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), CHU Pontchaillou [Rennes], Università degli Studi di Pavia, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Université d'Angers (UA)-Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )
- Subjects
Information Dissemination ,Epidemiology ,[SDV]Life Sciences [q-bio] ,Reproducibility of Results ,Secondary data ,meta-research ,Reporting guidelines ,Data sharing ,Meta-analysis ,Metaresearch ,Open Science ,Reproducibility ,Humans ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie - Abstract
International audience; Data sharing is gradually becoming a requirement across all fields of science, owing to its key benefits in verifying the reproducibility of findings and reusing existent data for new purposes. Although meta-research studies are complex, time-consuming and hinge on the availability of data produced and curated by others, there has been little focus on how they make their own data available. This is in stark contrast with the heightened attention data sharing has received in clinical research. Yet, as secondary data users par excellence, meta-researchers are ethically bound to both improving and evaluating data sharing practices, as well as correctly sharing their own data. We contrast particularities of data sharing in meta-research and clinical research, such as benefits, barriers, inadequate and potentially pervasive sharing practices. We conclude with an array of concrete and tailored recommendations for improvement.
- Published
- 2022
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