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

dc.contributor.authorKraemer, Moritz U.G.
dc.contributor.authorScarpino, Samuel V.
dc.contributor.authorMarivate, Vukosi
dc.contributor.authorGutierrez, Bernardo
dc.contributor.authorXu, Bo
dc.contributor.authorLee, Graham
dc.contributor.authorHawkins, Jared B.
dc.contributor.authorRivers, Caitlin
dc.contributor.authorPigott, David M.
dc.contributor.authorKatz, Rebecca
dc.contributor.authorBrownstein, John S.
dc.date.accessioned2023-01-19T12:27:41Z
dc.date.available2023-01-19T12:27:41Z
dc.date.issued2021-01
dc.descriptionData 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.abstractDetailed, 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.departmentComputer Scienceen_US
dc.description.librarianhj2023en_US
dc.description.urihttps://www.nature.com/natcomputscien_US
dc.identifier.citationKraemer, 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). https://doi.org/10.1038/s43588-020-00015-6.en_US
dc.identifier.issn2662-8457 (online)
dc.identifier.other10.1038/s43588-020-00015-6
dc.identifier.urihttps://repository.up.ac.za/handle/2263/88908
dc.language.isoenen_US
dc.publisherNature Researchen_US
dc.rightsNature Publishing Groupen_US
dc.subjectData acquisitionen_US
dc.subjectSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)en_US
dc.subjectScientific dataen_US
dc.subjectCOVID-19 pandemicen_US
dc.subjectCoronavirus disease 2019 (COVID-19)en_US
dc.titleData curation during a pandemic and lessons learned from COVID-19en_US
dc.typePostprint Articleen_US

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