保护隐私数据共享的联合分析:技术与法律入门。

IF 7.7 2区 生物学 Q1 GENETICS & HEREDITY
James Casaletto, Alexander Bernier, Robyn McDougall, Melissa S Cline
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引用次数: 0

摘要

精准医疗的不断进步有赖于人类基因变异与疾病相关数据的广泛共享。然而,数据共享受到保护患者隐私的法律、法规和道德限制的严重制约。联合分析通过将代码转移到数据来解决这一问题--提供在安全的家庭环境中分析数据的技术和法律能力,而不是将数据转移到其他机构进行分析。这使研究人员能够从无法移动的数据中获得新的见解,同时尊重患者隐私和数据管理员的法律义务。由于联合分析是针对数据共享固有的法律挑战的技术解决方案,因此必须同时评估技术和政策影响。在此,我们总结了联合分析的技术方法,并对其政策影响进行了法律分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Federated Analysis for Privacy-Preserving Data Sharing: A Technical and Legal Primer.

Continued advances in precision medicine rely on the widespread sharing of data that relate human genetic variation to disease. However, data sharing is severely limited by legal, regulatory, and ethical restrictions that safeguard patient privacy. Federated analysis addresses this problem by transferring the code to the data-providing the technical and legal capability to analyze the data within their secure home environment rather than transferring the data to another institution for analysis. This allows researchers to gain new insights from data that cannot be moved, while respecting patient privacy and the data stewards' legal obligations. Because federated analysis is a technical solution to the legal challenges inherent in data sharing, the technology and policy implications must be evaluated together. Here, we summarize the technical approaches to federated analysis and provide a legal analysis of their policy implications.

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来源期刊
CiteScore
14.90
自引率
1.10%
发文量
29
期刊介绍: Since its inception in 2000, the Annual Review of Genomics and Human Genetics has been dedicated to showcasing significant developments in genomics as they pertain to human genetics and the human genome. The journal emphasizes genomic technology, genome structure and function, genetic modification, human variation and population genetics, human evolution, and various aspects of human genetic diseases, including individualized medicine.
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