3.9 Article

Increasing resilience via the use of personal data: Lessons from COVID-19 dashboards on data governance for the public good

期刊

DATA & POLICY
卷 3, 期 -, 页码 -

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/dap.2021.27

关键词

COVID-19; data governance; data transparency; data privacy; public trust

资金

  1. Murata Science Foundation

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This study explores how governments can use data tools to balance public health and data privacy during a public health crisis. Survey and interviews were conducted to understand the perspectives of developers and users of COVID-19 dashboards in Hong Kong, revealing two key factors - informed actions based on open data and significant public trust in data transparency, are crucial in the design and improvement of dashboards. Norms surrounding reporting on COVID-19 cases should be co-constructed among citizens and governments for policies to be acknowledged as salient, credible, and legitimate.
Contemporary data tools such as online dashboards have been instrumental in monitoring the spread of the COVID-19 pandemic. These real-time interactive platforms allow citizens to understand the local, regional, and global spread of COVID-19 in a consolidated and intuitive manner. Despite this, little research has been conducted on how citizens respond to the data on the dashboards in terms of the pandemic and data governance issues such as privacy. In this paper, we seek to answer the research question: how can governments use data tools, such as dashboards, to balance the trade-offs between safeguarding public health and protecting data privacy during a public health crisis? This study used surveys and semi-structured interviews to understand the perspectives of the developers and users of COVID-19 dashboards in Hong Kong. A typology was also developed to assess how Hong Kong's dashboards navigated trade-offs between data disclosure and privacy at a time of crisis compared to dashboards in other jurisdictions. Results reveal that two key factors were present in the design and improvement of COVID-19 dashboards in Hong Kong: informed actions based on open COVID-19 case data, and significant public trust built on data transparency. Finally, this study argues that norms surrounding reporting on COVID-19 cases, as well as cases for future pandemics, should be co-constructed among citizens and governments so that policies founded on such norms can be acknowledged as salient, credible, and legitimate.

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