Tracey L. Weissgerber

JLR reports receiving a research grant from Novartis Pharma for a self-initiated research project about migraine outside of this work, which partially funded position the position of MP. MP further reports being awarded a research grant from the Center for Stroke Research Berlin (private donations). https://osf.io/w78mh/ This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Data availability and reusability are critical to open research. The FAIR principles provide a minimal set of guiding principles for making data findable, accessible, interoperable and reusable1. Open data are not necessarily FAIR, and FAIR data are not necessarily open. Since their publication in 20161, the FAIR principles have accelerated the open data movement by inspiring activities and infrastructure development2,3,4.

Data sharing enhances the value of medical research and builds trust in clinical trials, but more biomedical researchers need to be trained in these approaches, which include meta-research, data science and ethical, legal and social issues. Embedding clinical trial data sharing into such a broader framework offers the opportunity for external re-analysis, which enables conclusions to be re-examined, verified or, occasionally, corrected, thereby building trust.