关于保护隐私的数据共享的联合分析:技术和法律基础知识
James Casaletto1, Alexander Bernier2, Robyn McDougall2
1Genomics Institute, University of California, Santa Cruz, California, USA; email: jcasalet@ucsc.edu, mcline@ucsc.edu.
Annual review of genomics and human genetics
|May 30, 2023
概括
联合分析通过将分析代码移动到数据中,使得精准医学研究的遗传数据能够安全共享. 这种方法尊重患者的隐私和法律义务,克服数据共享的限制.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 医疗信息学 医疗信息学
背景情况:
- 精准医学的进步取决于共享人类遗传变异和疾病数据.
- 广泛的数据共享受到法律,监管和道德隐私限制的阻碍.
研究的目的:
- 将联合分析作为克服精准医学数据共享障碍的解决方案.
- 探索联合分析的技术方法和政策影响.
主要方法:
- 联合分析:代码转移到数据中,而不是相反.
- 分析是在数据所有者的安全环境中进行的.
- 研究了联合分析的法律和技术方面.
主要成果:
- 联合分析允许从敏感的遗传数据获得洞察力,而无需直接传输数据.
- 维护患者的隐私,并遵守数据管理责任.
- 提供了一个评估技术和政策相互作用的框架.
结论:
- 联合分析为安全的基因数据共享提供了可行的技术和法律解决方案.
- 对于推进精准医学而言至关重要,同时维护隐私和监管合规.
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