Independent Researcher, Braunschweig, Germany.
Stud Health Technol Inform. 2024 Aug 22;316:1945-1949. doi: 10.3233/SHTI240814.
This research delves into the relationship between open data and decision making, drawing insights from the utilization of Minimal Essential Data (MED) during the COVID-19 pandemic in Canton Zürich, Switzerland. It examines observations and lessons learned, emphasizing the pivotal role of open data in response to an emergency. Through a case study approach, this article sheds light on the practical implications and observed strategies in publishing open data from digital public health surveillance software. While it is arguable that open data has the potential to enhance data quality in the context of a public health emergency, our findings indicate that it is firstly essential that a Minimal Essential Dataset (MED) is defined and publicly published, an open data publication platform and procedure are secondly in place (ideally following FAIR data principles), and thirdly, that regular data quality reviews are conducted.
本研究探讨了开放数据与决策之间的关系，从瑞士苏黎世州在 COVID-19 大流行期间利用最小必要数据（MED）中汲取了经验教训。它考察了观察结果和经验教训，强调了开放数据在应对紧急情况方面的关键作用。通过案例研究的方法，本文揭示了从数字公共卫生监测软件发布开放数据的实际意义和观察到的策略。虽然开放数据有可能提高公共卫生紧急情况下的数据质量，但我们的研究结果表明，首先必须定义和公开发布最小必要数据集（MED），其次要有一个开放数据发布平台和程序（理想情况下遵循 FAIR 数据原则），第三是要定期进行数据质量审查。
