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Responsible, Automated Data Gathering for Timely Citizen Dashboard Provision During a Global Pandemic (COVID-19)

Authors:

Tobias Röddiger,

Dominik Dörner,

Matthias BuddeAuthors Info & Claims

Digital Government: Research and Practice, Volume 2, Issue 1

Article No.: 9, Pages 1 - 9

https://doi.org/10.1145/3428471

Published: 17 November 2020 Publication History

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Abstract

Creating a public understanding of the dynamics of a pandemic, such as COVID-19, is vital for introducing restrictive regulations. Gathering diverse data responsibly and sharing it with experts and citizens in a timely manner is challenging. This article reviews methodologies of COVID-19 dashboard design and discusses both technical and non-technical challenges associated. Advice and lessons learned from building a citizen-focused, automated county-precision dashboard for Germany are shared. Within four months, the web-based tool had 5 million unique visitors and 70 million sessions. Three developers set up the basic version in less than one week. Early on, data was screen scraped. An iterative process improved timeliness by adding more fine-grained data sources. A collaborative online table editor enabled near real-time corrections. Alerting was setup for errors, and statistics apply for sanity checking. Static site generation and a content delivery network help to serve large user loads in a timely manner. The flexible design allowed to iteratively integrate more complex statistics based on expert knowledge built on top of the collected data and secondary data sources such as ICU beds and citizen movement.

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Cited By

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https://doi.org/10.1515/auto-2024-0034
Altura KMadjalis HSungahid MSerrano ERodriguez R(2023)Development of a Web-Portal Health Information System for Barangay2023 11th International Conference on Information and Education Technology (ICIET)10.1109/ICIET56899.2023.10111439(544-550)Online publication date: 18-Mar-2023
https://doi.org/10.1109/ICIET56899.2023.10111439
Danemayer JYoung AGreen SEzenwa LKlein M(2023)Responding to the coronavirus disease-2019 pandemic with innovative data use: The role of data challengesData & Policy10.1017/dap.2023.65Online publication date: 27-Mar-2023
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Responsible, Automated Data Gathering for Timely Citizen Dashboard Provision During a Global Pandemic (COVID-19)

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Information & Contributors

Information

Published In

cover image Digital Government: Research and Practice

Digital Government: Research and Practice Volume 2, Issue 1

COVID-19 Commentaries

January 2021

116 pages

EISSN:2639-0175

DOI:10.1145/3434277

Editors:
Soon Ae Chun
City University of New York, USA
,
Beth Simone Noveck
The Governance Lab and New York University, USA

Issue’s Table of Contents

Copyright © 2020 Owner/Author.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 License.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 November 2020

Online AM: 30 October 2020

Accepted: 01 October 2020

Revised: 01 September 2020

Received: 01 June 2020

Published in DGOV Volume 2, Issue 1

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Cited By

Budde MHilbring DVogl JDittmar DAbecker A(2024)NiMo 4.0 – Enabling advanced data analytics with AI for environmental governance in the water domainat - Automatisierungstechnik10.1515/auto-2024-003472:6(564-578)Online publication date: 25-Jun-2024
https://doi.org/10.1515/auto-2024-0034
Altura KMadjalis HSungahid MSerrano ERodriguez R(2023)Development of a Web-Portal Health Information System for Barangay2023 11th International Conference on Information and Education Technology (ICIET)10.1109/ICIET56899.2023.10111439(544-550)Online publication date: 18-Mar-2023
https://doi.org/10.1109/ICIET56899.2023.10111439
Danemayer JYoung AGreen SEzenwa LKlein M(2023)Responding to the coronavirus disease-2019 pandemic with innovative data use: The role of data challengesData & Policy10.1017/dap.2023.65Online publication date: 27-Mar-2023
https://doi.org/10.1017/dap.2023.6
Hu ZZhang YTang R(2023) Patterns of Community‐Based Data in the US State‐Level COVID ‐19 Dashboards: Groupings, Inconsistencies and Gaps Proceedings of the Association for Information Science and Technology10.1002/pra2.91960:1(983-985)Online publication date: 22-Oct-2023
https://doi.org/10.1002/pra2.919
Chokki ASimonofski AFrénay BVanderose B(2022)Engaging Citizens with Open Government Data: The Value of Dashboards Compared to Individual VisualizationsDigital Government: Research and Practice10.1145/35580993:3(1-20)Online publication date: 14-Oct-2022
https://dl.acm.org/doi/10.1145/3558099
Gao GZheng JChoe EYamashita N(2022)Taking a Language Detour: How International Migrants Speaking a Minority Language Seek COVID-Related Information in Their Host CountriesProceedings of the ACM on Human-Computer Interaction10.1145/35556006:CSCW2(1-32)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555600
Gao YJanssen M(2022)The Open Data Canvas–Analyzing Value Creation from Open DataDigital Government: Research and Practice10.1145/35111023:1(1-15)Online publication date: 26-Mar-2022
https://dl.acm.org/doi/10.1145/3511102
Smyth B(2021)Estimating Exposure Risk to Guide Behaviour During the SARS-COV2 PandemicFrontiers in Digital Health10.3389/fdgth.2021.6557453Online publication date: 28-May-2021
https://doi.org/10.3389/fdgth.2021.655745

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