Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group.
COVID-19
Clinical Research
Epidemiology
FAIR and CARE principles
Omics
Open science
Sharing research outputs in pandemics caused by infectious diseases
Social Science
Journal
Wellcome open research
ISSN: 2398-502X
Titre abrégé: Wellcome Open Res
Pays: England
ID NLM: 101696457
Informations de publication
Date de publication:
2020
2020
Historique:
accepted:
21
10
2020
entrez:
27
1
2021
pubmed:
28
1
2021
medline:
28
1
2021
Statut:
epublish
Résumé
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 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.
Identifiants
pubmed: 33501381
doi: 10.12688/wellcomeopenres.16378.1
pmc: PMC7808050
doi:
Types de publication
Journal Article
Langues
eng
Pagination
267Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NIDA NIH HHS
ID : 75N95019C00017
Pays : United States
Informations de copyright
Copyright: © 2020 Austin CC et al.
Déclaration de conflit d'intérêts
No competing interests were disclosed.
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