概括
数据基础设施,包括官僚和技术系统,除了数据共享之外还有独特的伦理考虑. 这包括检查效率,可见性,标准和新技术.
科学领域:
- 生物伦理学生物伦理学
- 数据科学数据科学数据科学
- 信息治理 信息治理
背景情况:
- 数据共享在生物伦理学中得到了广泛讨论.
- 数据基础设施,包括数据管理,分析,存储和共享的机制,提出了独特的伦理挑战.
- 这些伦理考虑与基础设施本身所促进的行动是分开的.
研究的目的:
- 识别和概述数据基础设施的独特伦理考虑.
- 鼓励生物伦理学家参与有关数据基础设施的讨论.
- 突出生物伦理专业知识对基础设施发展和治理的相关性.
主要方法:
- 数据基础设施的概念分析.
- 在数据基础设施中识别伦理维度.
- 文献综述专注于生物伦理和数据管理.
主要成果:
- 数据基础设施中的伦理问题包括:效率的伦理,基础设施的可见性,标准的影响以及新兴技术的影响.
- 生物伦理学文献在很大程度上忽视了基础设施本身固有的伦理维度.
- 需要生物伦理学家为围绕数据基础设施的伦理话语做出贡献.
结论:
- 数据基础设施需要专门的伦理审查,与其功能应用区分开来.
- 生物伦理学界的专业知识对于应对数据基础设施的伦理复杂性至关重要.
- 需要进一步对话,将伦理考虑纳入数据基础设施的设计和管理.
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