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Increasing Resilience via the Use of Personal Data: Lessons from COVID-19 Dashboards on Data Governance for the Public Good – Corrigendum

Published online by Cambridge University Press:  26 April 2022

Veronica Qin Ting Li  and
Masaru Yarime

Abstract

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Keywords

COVID-19data governancedata transparencydata privacypublic trust
Type
Corrigendum
Information
Data & Policy , Volume 4 , 2022 , e13
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Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited
Copyright
© The Author(s), 2022. Published by Cambridge University Press

The authors apologise that Panel C of Figure 1, which refers to the highest level of education of the total sample population, was inadvertently excluded from the final published version of this article (Li, V and Yarime M., 2021).

Figure 1. The (a) age, (b) gender, and (c) highest level of education of the total sample population (blue), dashboard users among the sample population (yellow), and general Hong Kong population (pink). *The first pink bar represents the 15–24 age group in the Hong Kong population according to census data.

We include Figure 1 in its entirety here to correct the scholarly record, with legend below.

References

Li, V., & Yarime, M. (2021). Increasing resilience via the use of personal data: Lessons from COVID-19 dashboards on data governance for the public good. Data & Policy, 3, E29. doi:10.1017/dap.2021.27CrossRefGoogle Scholar
Figure 0

Figure 1. The (a) age, (b) gender, and (c) highest level of education of the total sample population (blue), dashboard users among the sample population (yellow), and general Hong Kong population (pink). *The first pink bar represents the 15–24 age group in the Hong Kong population according to census data.

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