Data Sharing in a Time of Pandemic.
Journal
Patterns (New York, N.Y.)
ISSN: 2666-3899
Titre abrégé: Patterns (N Y)
Pays: United States
ID NLM: 101767765
Informations de publication
Date de publication:
14 Aug 2020
14 Aug 2020
Historique:
entrez:
25
8
2020
pubmed:
25
8
2020
medline:
25
8
2020
Statut:
ppublish
Résumé
The Research Data Alliance COVID-19 Working Group brought together over 440 volunteer data experts in order to address key issues with data and software sharing that need to be dealt with in order to be better able to inform the research response to a global pandemic. The resulting document gives thorough, well-structured, and clear guidance on what is needed, now and in the future, to maximize timely, quality data sharing and appropriate responses in health emergencies.
Identifiants
pubmed: 32835315
doi: 10.1016/j.patter.2020.100086
pii: S2666-3899(20)30114-8
pii: 100086
pmc: PMC7427527
doi:
Types de publication
News
Langues
eng
Pagination
100086Informations de copyright
© 2020 The Author.