数据团结:通过数字工具实现公共价值
Seliem El-Sayed1, Ilona Kickbusch2, Barbara Prainsack1
1Department of Political Science, University of Vienna, Vienna, Austria.
Global public health
|January 10, 2025
概括
数据治理需要超越个人控制,以解决社会不平等问题. 基于团结的数据治理优先考虑公共价值和公平的风险分配,使用像PLUTO这样的工具进行评估.
科学领域:
- 数字健康数字健康
- 数据治理数据治理
- 公共卫生政策 公共卫生政策
背景情况:
- 目前的数据治理框架主要保护数据主体.
- 数字实践会产生更广泛的社会影响和权力不平衡.
- 现有的框架未能解决数字社会中普遍存在的不平等问题.
研究的目的:
- 建议从个人数据控制转向以股权为中心的数据治理.
- 引入基于团结的数据治理 (数据团结) 作为一个新的框架.
- 澄清公共价值在数据治理中的作用和运作.
主要方法:
- 数据团结的概念框架开发.
- 根据公共价值,风险和私人利益来优先考虑数据使用.
- 引入PLUTO工具,用于评估数据使用的公共价值.
主要成果:
- 数据团结优先考虑数据的使用,促进公共价值的产生.
- 高风险的数据使用受到禁止或严格监管.
- 从数据使用中获得的私人利益和低公共价值的利被征税用于再投资.
结论:
- 基于团结的数据治理为数据管理提供了更公平的方法.
- 通过像PLUTO这样的工具实现公共价值对全球健康数据治理至关重要.
- 该框架促进数据使用带来的利益和风险的公平贡献.
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