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

Show simple item record Kraemer, Moritz U.G. Scarpino, Samuel V. Marivate, Vukosi Gutierrez, Bernardo Xu, Bo Lee, Graham Hawkins, Jared B. Rivers, Caitlin Pigott, David M. Katz, Rebecca Brownstein, John S. 2023-01-19T12:27:41Z 2023-01-19T12:27:41Z 2021-01
dc.description Data availability The underlying dataset for Fig. 1a is available open access from the supplemental material in ref. 5, and datasets for Fig. 1b,c from the UNESCO World Heritage List 2021 in ref. 32. en_US
dc.description.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 pandemic. en_US
dc.description.department Computer Science en_US
dc.description.librarian hj2023 en_US
dc.description.uri en_US
dc.identifier.citation Kraemer, M.U.G., Scarpino, S.V., Marivate, V. et al. Data curation during a pandemic and lessons learned from COVID-19. Nature Computational Science 1, 9–10 (2021). en_US
dc.identifier.issn 2662-8457 (online)
dc.identifier.other 10.1038/s43588-020-00015-6
dc.language.iso en en_US
dc.publisher Nature Research en_US
dc.rights Nature Publishing Group en_US
dc.subject Data acquisition en_US
dc.subject Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) en_US
dc.subject Scientific data en_US
dc.subject COVID-19 pandemic en_US
dc.subject Coronavirus disease 2019 (COVID-19) en_US
dc.title Data curation during a pandemic and lessons learned from COVID-19 en_US
dc.type Postprint Article en_US

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