Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group

Author:

Austin Claire C.ORCID,Bernier AlexanderORCID,Bezuidenhout LouiseORCID,Bicarregui JuanORCID,Biro TimeaORCID,Cambon-Thomsen AnneORCID,Carroll Stephanie RussoORCID,Cournia ZoeORCID,Dabrowski Piotr WojciechORCID,Diallo Gayo,Duflot ThomasORCID,Garcia LeylaORCID,Gesing Sandra,Gonzalez-Beltran AlejandraORCID,Gururaj AnupamaORCID,Harrower NatalieORCID,Lin Dawei,Medeiros ClaudiaORCID,Méndez EvaORCID,Meyers NatalieORCID,Mietchen DanielORCID,Nagrani RajiniORCID,Nilsonne GustavORCID,Parker Simon,Pickering BrianORCID,Pienta Amy,Polydoratou PanayiotaORCID,Psomopoulos FotisORCID,Rennes StephanieORCID,Rowe RobynORCID,Sansone Susanna-AssuntaORCID,Shanahan HughORCID,Sitz LinaORCID,Stocks JoanneORCID,Tovani-Palone Marcos Roberto,Uhlmansiek MaryORCID,

Abstract

The systemic challenges of the COVID-19 pandemic require cross-disciplinary collaboration in a global and timely fashion. Such collaboration needs open research practices and the sharing of research outputs, such as data and code, thereby facilitating research and research reproducibility and timely collaboration beyond borders. The Research Data Alliance COVID-19 Working Group recently published a set of recommendations and guidelines on data sharing and related best practices for COVID-19 research. These guidelines include recommendations for clinicians, researchers, policy- and decision-makers, funders, publishers, public health experts, disaster preparedness and response experts, infrastructure providers from the perspective of different domains (Clinical Medicine, Omics, Epidemiology, Social Sciences, Community Participation, Indigenous Peoples, Research Software, Legal and Ethical Considerations), and other potential users. These guidelines include recommendations for researchers, policymakers, funders, publishers and infrastructure providers from the perspective of different domains (Clinical Medicine, Omics, Epidemiology, Social Sciences, Community Participation, Indigenous Peoples, Research Software, Legal and Ethical Considerations). Several overarching themes have emerged from this document such as the need to balance the creation of data adherent to FAIR principles (findable, accessible, interoperable and reusable), with the need for quick data release; the use of trustworthy research data repositories; the use of well-annotated data with meaningful metadata; and practices of documenting methods and software. The resulting document marks an unprecedented cross-disciplinary, cross-sectoral, and cross-jurisdictional effort authored by over 160 experts from around the globe. This letter summarises key points of the Recommendations and Guidelines, highlights the relevant findings, shines a spotlight on the process, and suggests how these developments can be leveraged by the wider scientific community.

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

European Commission

Horizon 2020

University of Michigan

National Institute on Drug Abuse

Agence Universitaire de la Francophonie

National Science Foundation

Université de Bordeaux

Canadian Cancer Genome Collaboratory

Wellcome Trust

Inter-university Consortium for Political and Social Research

Publisher

F1000 Research Ltd

Subject

General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

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