印度对社区数据的概念和解决对司法准入的担忧
Siddharth Peter de Souza1, Kritika Bhardwaj2
1African Centre for Epistemology and Philosophy of Science, University of Johannesburg, Johannesburg, South Africa.
概括
这篇论文探讨了印度非个人数据框架内的社区数据正义. 它提出了一个社区数据正义的模型,强调归属,参与和退出社区的机会.
科学领域:
- 数据治理数据治理
- 信息法 信息法 信息法
- 社会科学 社会科学 社会科学
背景情况:
- 社区数据的概念是在印度的非个人数据框架中出现的.
- 现有的评论强调了关于社区识别和代表性的定义挑战.
研究的目的:
- 解决在数据治理中定义"社区"的挑战.
- 提出一个框架,使社区数据变得可操作,并确保获得司法公正.
- 分析社区数据正义的组成部分.
主要方法:
- 社区数据定义的概念分析.
- 制定一个框架,使社区数据正义变得可操作.
- 检查个人在社区中的地位,与数据访问有关.
主要成果:
- 社区数据正义需要明确社区归属的识别.
- 参与社区的能力对于数据正义至关重要.
- 退出社区的机会是数据正义的关键组成部分.
结论:
- 运营社区数据正义需要一个框架来解决归属,参与和退出问题.
- 获取和使用社区数据与个人在社区中的地位密切相关.
- 该框架提供了一个模型,用于导航社区数据治理和正义的复杂性.
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