Open Data-Driven Decision Making: Observations from COVID-19 Minimal Essential Data, Canton Zürich, Switzerland.

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  • Author(s): Louw C;Louw C
  • Source:
    Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 1945-1949.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
    • Publication Information:
      Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
    • Subject Terms:
      COVID-19*/epidemiology; Switzerland ; Humans ; Pandemics ; Decision Making ; SARS-CoV-2
    • Abstract:
      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.
    • Contributed Indexing:
      Keywords: COVID-19; Contact Tracing; Open Data; Public Health; Switzerland
    • Publication Date:
      Date Created: 20240823 Date Completed: 20240823 Latest Revision: 20240823
    • Publication Date:
      20240823
    • Accession Number:
      10.3233/SHTI240814
    • Accession Number:
      39176873