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| dc.contributor.author | Kraemer, Moritz U.G.
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| dc.contributor.author | Scarpino, Samuel V.
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| dc.contributor.author | Marivate, Vukosi
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| dc.contributor.author | Gutierrez, Bernardo
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| dc.contributor.author | Xu, Bo
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| dc.contributor.author | Lee, Graham
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| dc.contributor.author | Hawkins, Jared B.
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| dc.contributor.author | Rivers, Caitlin
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| dc.contributor.author | Pigott, David M.
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| dc.contributor.author | Katz, Rebecca
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| dc.contributor.author | Brownstein, John S.
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| dc.date.accessioned | 2023-01-19T12:27:41Z | |
| dc.date.available | 2023-01-19T12:27:41Z | |
| dc.date.issued | 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 | https://www.nature.com/natcomputsci | 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). https://doi.org/10.1038/s43588-020-00015-6. | en_US |
| dc.identifier.issn | 2662-8457 (online) | |
| dc.identifier.other | 10.1038/s43588-020-00015-6 | |
| dc.identifier.uri | https://repository.up.ac.za/handle/2263/88908 | |
| 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 |
