基因组数据去识别的计算工具：促进数据保护法的合规。
Computational tools for genomic data de-identification: facilitating data protection law compliance.
机构信息
Centre of Genomics and Policy, McGill University, Faculty of Medicine, 740, avenue Dr. Penfield, suite 5200, Montreal, QC, H3A 0G1, Canada.
出版信息
Nat Commun. 2021 Nov 29;12(1):6949. doi: 10.1038/s41467-021-27219-2.
Abstract
In this opinion piece, we discuss why computational tools to limit the identifiability of genomic data are a promising avenue for privacy-preservation and legal compliance. Even where these technologies do not eliminate all residual risk of individual identification, the law may still consider such data anonymised.
摘要
在这篇观点文章中，我们讨论了为什么计算工具来限制基因组数据的可识别性是保护隐私和合规法律的一个有前途的途径。即使这些技术不能消除个体识别的所有剩余风险，法律仍可能认为这些数据是匿名的。
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