Responsible, Automated Data Gathering for Timely Citizen Dashboard Provision During a Global Pandemic (COVID-19)
Responsible, Automated Data Gathering for Timely Citizen Dashboard Provision During a Global Pandemic (COVID-19)
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在全球大流行 (COVID-19) 期间进行负责任的自动数据收集，以便及时提供公民仪表板
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
M. Budde
中科院分区：
文献类型：
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作者：
Tobias Röddiger;M. Beigl;Dominik Doerner;M. Budde
让公众了解COVID-19等大流行的动态，对于引入限制性法规至关重要。负责任地收集各种数据并及时与专家和公民分享是一项挑战。本文回顾了COVID-19仪表板设计的方法，并讨论了相关的技术和非技术挑战。在为德国建立一个以公民为中心的自动化县级精确仪表板的过程中，他们分享了建议和经验教训。在四个月内，这个基于网络的工具拥有500万独立访问者和7000万次会话。三个开发人员在不到一周的时间内完成了基本版本。早期，数据是通过屏幕抓取的。迭代过程通过添加更多细粒度的数据源来提高时效性。协作式在线表编辑器支持近乎实时的更正。为错误设置警报，并应用统计信息进行完整性检查。静态站点生成和内容交付网络有助于及时为大量用户提供服务。灵活的设计允许基于专家知识迭代集成更复杂的统计数据，这些数据建立在收集的数据和辅助数据源（如ICU床位和公民运动）之上。
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.