四个问题指导数据共享和整合的决策
Amy Hawn Nelson1, Sharon Zanti1
1University of Pennsylvania, Actionable Intelligence for Social Policy.
International journal of population data science
|February 29, 2024
概括
这个框架通过提出四个关键问题来指导道德数据集成:它是否合法,道德,是个好主意,以及我们如何知道? 它支持强有力的数据治理,以实现成功的数据共享和整合项目.
科学领域:
- 数据科学数据科学数据科学
- 信息治理 信息治理
- 公共卫生信息学 公共卫生信息学
背景情况:
- 有效的数据集成需要一个强大的法律和道德基础.
- 现有的框架可能无法普遍适应不同的数据集成环境.
研究的目的:
- 提出一个四个问题框架,指导数据集成中的伦理数据使用.
- 为建立数据治理和法律基础提供一个简单,可适应的工具.
主要方法:
- 通过公众审议工作组和15年的实地经验开发.
- 框架包括四个核心问题:这是合法的吗? 这是道德的吗? 这是一个好主意吗? 我们怎么知道 (以及谁决定)?
主要成果:
- 四个问题框架有助于确定数据共享和整合的合法性和道德性.
- 它为构建集成数据系统 (IDS) 和管理数据项目的决策提供了便利.
结论:
- 强大的数据治理对于法律,道德和适合环境的数据共享至关重要.
- 整合到治理流程中的四个问题框架支持代和协作数据集成.
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