开放数据驱动的决策:来自COVID-19最小基本数据的观察,苏黎世州,瑞士
1Independent Researcher, Braunschweig, Germany.
Studies in health technology and informatics
|August 23, 2024
概括
开放数据增强了应急响应,但需要定义的最小基本数据集 (MED),出版平台和定期质量检查,以便在公共卫生危机期间有效地做出决策.
科学领域:
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
- 信息管理 信息管理
背景情况:
- 随着COVID-19的爆发,人们越来越需要在公共卫生紧急情况下获得及时和可访问的数据.
- 有效的决策依赖于强大的数据基础设施和透明的数据共享实践.
- 开放数据原则为管理和传播关键健康信息提供了一个框架.
研究的目的:
- 检查在瑞士苏黎世州COVID-19大流行期间开放数据的作用和实际实施.
- 确定从数字公共卫生监测系统发布开放数据的关键策略和挑战.
- 为改善未来公共卫生紧急情况的开放数据利用提供可操作的见解.
主要方法:
- 案例研究方法专注于在COVID-19大流行期间利用最小基本数据 (MED).
- 分析观察和从开放数据发布实践中吸取的经验教训.
- 评估从数字公共卫生监测软件发布开放数据的策略.
主要成果:
- 开放数据显著支持在公共卫生紧急情况期间的决策.
- 一个定义和公开的最小基本数据集 (MED) 是有效利用开放数据的先决条件.
- 建立一个公开的数据发布平台和程序,遵守FAIR数据原则,至关重要.
- 定期的数据质量审查对于保持开放数据的完整性至关重要.
结论:
- 如果正确管理开放数据,可以提高数据质量,并在公共卫生紧急情况下支持决策.
- 开放数据的成功实施需要明确定义基本数据,可访问的平台和严格的质量控制.
- 从COVID-19大流行中吸取的经验教训强调了对未来的健康危机在开放数据战略中做好准备的必要性.
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