2019冠状病毒病与数据治理差距

Lisa M. Austin
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引用次数: 0

摘要

新冠肺炎大流行凸显了使用数据和先进技术来帮助解决公共卫生紧急情况所涉及的许多复杂性。这些复杂性突出表明,需要采用一个更广泛的数据治理框架,其中包括三个基本问题:(a)谁决定数据流,(b)在什么基础上,以及(c)有什么问责制和监督。这些问题可以解决文献中出现的关于新型数据危害的问题。然而,这些问题也预示着权力、权威和合法性的重要问题。数据治理可以提供一个组织规范框架,以解决新出现的数据主题,包括数据获取、集体决策、数据中介、数据主权、设计和数字基础设施、监管技术、法治以及社会信任和许可。尤其是接触者追踪应用程序的疫情经历,表明了许多尚未解决的治理挑战。《法律与社会科学年度评论》第19卷预计最终在线出版日期为2023年10月。请参阅http://www.annualreviews.org/page/journal/pubdates用于修订估算。
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COVID-19 and the Data Governance Gap
The COVID-19 pandemic has highlighted many complexities involved in using data and advanced technologies to help resolve public health emergencies. These complexities highlight the need to embrace a broader framework of data governance with three foundational questions: ( a) who decides about data flows, ( b) on what basis, and ( c) with what accountability and oversight. These questions can accommodate the issues that have arisen in the literature regarding new types of data harms. However, these questions also foreground important issues of power, authority, and legitimacy. Data governance can provide an organizing normative framework to address emerging data themes including access to data, collective decision making, data intermediaries, data sovereignty, design and digital infrastructure, regulatory technologies, the rule of law, and social trust and license. The pandemic experience with contact tracing apps, in particular, showed the many unresolved governance challenges. Expected final online publication date for the Annual Review of Law and Social Science, Volume 19 is October 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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来源期刊
CiteScore
4.40
自引率
8.30%
发文量
18
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