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Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group [version 2; peer review: 1 approved, 2 approved with reservations]

Authors :
Claire C. Austin
Alexander Bernier
Louise Bezuidenhout
Juan Bicarregui
Timea Biro
Anne Cambon-Thomsen
Stephanie Russo Carroll
Zoe Cournia
Piotr Wojciech Dabrowski
Gayo Diallo
Thomas Duflot
Leyla Garcia
Sandra Gesing
Alejandra Gonzalez-Beltran
Anupama Gururaj
Natalie Harrower
Dawei Lin
Claudia Medeiros
Eva Méndez
Natalie Meyers
Daniel Mietchen
Rajini Nagrani
Gustav Nilsonne
Simon Parker
Brian Pickering
Amy Pienta
Panayiota Polydoratou
Fotis Psomopoulos
Stephanie Rennes
Robyn Rowe
Susanna-Assunta Sansone
Hugh Shanahan
Lina Sitz
Joanne Stocks
Marcos Roberto Tovani-Palone
Mary Uhlmansiek
Research Data Alliance
Source :
Wellcome Open Research, Vol 5 (2021)
Publication Year :
2021
Publisher :
Wellcome, 2021.

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.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
2398502X
Volume :
5
Database :
Directory of Open Access Journals
Journal :
Wellcome Open Research
Publication Type :
Academic Journal
Accession number :
edsdoj.32d40ce0906c467db3012733dc1c72fa
Document Type :
article
Full Text :
https://doi.org/10.12688/wellcomeopenres.16378.2