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The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition

Tsung-Ting Kuo, Xiaoqian Jiang, Haixu Tang, XiaoFeng Wang, Arif Harmanci, Miran Kim, Kai Post, Diyue Bu, Tyler Bath, Jihoon Kim, Weijie Liu, Hongbo Chen, Lucila Ohno‐Machado

2022Journal of the American Medical Informatics Association28 citationsDOIOpen Access PDF

Abstract

Concerns regarding inappropriate leakage of sensitive personal information as well as unauthorized data use are increasing with the growth of genomic data repositories. Therefore, privacy and security of genomic data have become increasingly important and need to be studied. With many proposed protection techniques, their applicability in support of biomedical research should be well understood. For this purpose, we have organized a community effort in the past 8 years through the integrating data for analysis, anonymization and sharing consortium to address this practical challenge. In this article, we summarize our experience from these competitions, report lessons learned from the events in 2020/2021 as examples, and discuss potential future research directions in this emerging field.

Topics & Concepts

Data sharingComputer scienceData scienceInternet privacyCompetition (biology)Field (mathematics)Big dataInformation privacyComputer securityData miningMedicinePathologyAlternative medicineEcologyBiologyPure mathematicsMathematicsPrivacy-Preserving Technologies in DataEthics in Clinical ResearchCancer Genomics and Diagnostics
The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition | Litcius