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 K. H. Lee; Jared B. Hawkins; Caitlin Rivers; David M. Pigott; Rebecca Katz

doi:https://doi.org/10.1038/s43588-020-00015-6

doi.org/10.1038/s43588-020-00015-6

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

,

,

..., Rebecca Katz

20

Nature Computational Science11.30

Volume: 1, Issue: 1, Pages: 9 - 10

Published: Jan 14, 2021

Abstract

Detailed, accurate data related to a disease outbreak enable informed public health decision making. Given the variety of data types available across different regions, global data curation and standardization efforts are essential to guarantee rapid data integration and dissemination in times of a...

Paper Fields

Paper Details

Title

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

DOI

doi.org/10.1038/s43588-020-00015-6

Published Date

Jan 14, 2021

Journal

Nature Computational Science

Volume

1

Issue

1

Pages

9 - 10

Citation AnalysisPro

You’ll need to upgrade your plan to Pro

Looking to understand the true influence of a researcher’s work across journals & affiliations?

Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.

Learn more

Notes

History