dc.creatorShaw, James A.
dc.creatorSethi, Nayha
dc.creatorCassel, Christine K.
dc.date.accessioned2020-10-13T15:19:09Z
dc.date.accessioned2022-09-23T18:19:08Z
dc.date.available2020-10-13T15:19:09Z
dc.date.available2022-09-23T18:19:08Z
dc.date.created2020-10-13T15:19:09Z
dc.identifier2398-6352
dc.identifierhttps://doi.org/10.1038/s41746-020-00342-y
dc.identifierhttp://hdl.handle.net/20.500.12010/14375
dc.identifierhttps://doi.org/10.1038/s41746-020-00342-y
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3498851
dc.description.abstractStrategies to enable the reopening of businesses and schools in countries emerging from social-distancing measures revolve around knowledge of who has COVID-19 or is displaying recognized symptoms, the people with whom they have had physical contact, and which groups are most likely to experience adverse outcomes. Efforts to clarify these issues are drawing on the collection and use of large datasets about peoples’ movements and their health. In this Comment, we outline the importance of earning social license for public approval of big data initiatives, and specify principles of data law and data governance practices that can promote social license. We provide illustrative examples from the United States, Canada, and the United Kingdom.
dc.languageeng
dc.publisherDigital medicine
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAbierto (Texto Completo)
dc.sourcereponame:Expeditio Repositorio Institucional UJTL
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozano
dc.subjectCOVID-19
dc.subjectSocial license
dc.subjectBig data
dc.titleSocial license for the use of big data in the COVID-19 era


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