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  • 标题:COVID-19 pandemic reveals the peril of ignoring metadata standards
  • 本地全文:下载
  • 作者:Lynn M. Schriml ; Maria Chuvochina ; Neil Davies
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2020
  • 卷号:7
  • 期号:1
  • 页码:1-4
  • DOI:10.1038/s41597-020-0524-5
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:A research program at the University of Oxford, “Our World in Data”, maintains a global database on testingfor COVID-19. Asked whether there are ‘low-hanging fruit’ to improve the response to the pandemic,Program Director Max Roser had a very simple answer: “for all those who publish original data, pro-vide a clear description of your data” (@MaxCRoser: 1:39am · 12 Apr 2020 · Twitter Web App), highlighting theimportance of maximizing the reusability of data. In the age of COVID-19, we are seeing where value reallylies. Describing the WHO, WHAT, HOW, WHERE, and WHEN of genomic data enables comparative anal-ysis, informs public health responses, drives assessment of outbreak progression and reveals variation in thehost-specificity, modes of transmission, and sample collection protocols.
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