Data curation during a pandemic and lessons learned from COVID-19

Moritz U.G. Kraemer; Samuel V. Scarpino; Vukosi Marivate; Bernardo Gutierrez; Bo Xu; Graham Lee; Jared B. Hawkins; Caitlin Rivers; David M. Pigott; Rebecca Katz; John S. Brownstein

doi:10.1038/s43588-020-00015-6

Data curation during a pandemic and lessons learned from COVID-19

Moritz U.G. Kraemer^*
, Samuel V. Scarpino^*
, Vukosi Marivate
, Bernardo Gutierrez
, Bo Xu
, Graham Lee
, Jared B. Hawkins
, Caitlin Rivers
, David M. Pigott
, Rebecca Katz^*
, John S. Brownstein^*

^*Autor correspondiente de este trabajo

University of Oxford
Northeastern University
Santa Fe Institute
University of Pretoria
Universidad San Francisco de Quito
Tsinghua University
Boston Children's Hospital
Harvard University
Johns Hopkins University
University of Washington
Georgetown University

Producción científica: Contribución a una revista › Comentario/Debate

34 Citas (Scopus)

Idioma original	Inglés
Páginas (desde-hasta)	9-10
Número de páginas	2
Publicación	Nature Computational Science
Volumen	1
N.º	1
DOI	https://doi.org/10.1038/s43588-020-00015-6
Estado	Publicada - ene. 2021
Publicado de forma externa	Sí

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10.1038/s43588-020-00015-6

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note = "Funding Information: We thank all members of the Open COVID-19 Data Working Group ( https://github.com/beoutbreakprepared/nCoV2019 ). The Global.health initiative was supported by a philanthropic gift from Google.org and a grant from the Rockefeller Foundation. ",

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AU - Lee, Graham

AU - Hawkins, Jared B.

AU - Rivers, Caitlin

AU - Pigott, David M.

AU - Katz, Rebecca

AU - Brownstein, John S.

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