A hierarchical strategy to minimize privacy risk when linking "De-identified" data in biomedical research consortia.
A hierarchical strategy to minimize privacy risk when linking "De-identified" data in biomedical research consortia.
复制标题
一种分层策略，可在生物医学研究联盟中链接“去识别化”数据时最大限度地降低隐私风险。
DOI：
10.1016/j.jbi.2023.104322
复制
发表时间：
2023
影响因子：
4.5
通讯作者：
Xu,Hua
中科院分区：
文献类型：
--
作者：
Ohno-Machado,Lucila;Jiang,Xiaoqian;Kuo,Tsung-Ting;Tao,Shiqiang;Chen,Luyao;Ram,PrithamM;Zhang,Guo-Qiang;Xu,Hua
跨研究的数据链接提供了丰富数据集的机会，并为生物医学发现和/或预测的数据驱动模型提供了更强大的基础。已经提出了几种链接记录的技术，其中一些已经在保存分子和临床数据的数据存储库中实现。并非所有这些技术都能保证适当的隐私保护；在(a)可以与将与任何一方链接和共享的数据相关联的简单策略和(b)保护各方个人隐私的更复杂策略之间存在权衡。我们提出了一个中间的、实用的策略来支持与数据协调中心共享去识别数据的研究中的联系。该技术可以扩展到跨多个数据中心链接数据，以支持隐私保护记录链接，考虑到数据协调中心及其受奖者，可以扩展到实体层次结构（例如，受奖者、数据协调中心、数据中心等）。
Linking data across studies offers an opportunity to enrich data sets and provide a stronger basis for data-driven models for biomedical discovery and/or prognostication. Several techniques to link records have been proposed, and some have been implemented across data repositories holding molecular and clinical data. Not all these techniques guarantee appropriate privacy protection; there are trade-offs between (a) simple strategies that can be associated with data that will be linked and shared with any party and (b) more complex strategies that preserve the privacy of individuals across parties. We propose an intermediary, practical strategy to support linkage in studies that share de-identified data with Data Coordinating Centers. This technology can be extended to link data across multiple data hubs to support privacy preserving record linkage, considering data coordination centers and their awardees, which can be extended to a hierarchy of entities (e.g., awardees, data coordination centers, data hubs, etc.)b.