Shaw James A, Sethi Nayha, Cassel Christine K
Joint Centre for Bioethics, University of Toronto, Toronto, ON Canada.
Institute for Health System Solutions and Virtual Care, Women's College Hospital, University of Toronto, Toronto, ON Canada.
NPJ Digit Med. 2020 Oct 2;3:128. doi: 10.1038/s41746-020-00342-y. eCollection 2020.
Strategies 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.
对于正从社交疏远措施中走出来的国家,使企业和学校重新开放的策略围绕着了解哪些人感染了新冠病毒或出现了公认的症状、他们与哪些人有过身体接触,以及哪些群体最有可能出现不良后果。为厘清这些问题所做的努力正借助收集和使用有关人们行动及其健康状况的大型数据集。在本评论文章中,我们概述了获得社会许可以使大数据倡议得到公众认可的重要性,并明确了可促进社会许可的数据法律原则和数据治理实践。我们提供了来自美国、加拿大和英国的示例。