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

Tsung-Ting KuoXiaoqian JiangHaixu TangXiaoFeng WangArif HarmanciMiran KimKai PostDiyue BuTyler BathJihoon KimWeijie LiuHongbo ChenLucila Ohno-Machado
Published in: Journal of the American Medical Informatics Association : JAMIA (2022)
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.
Keyphrases
  • data analysis
  • big data
  • health information
  • electronic health record
  • social media
  • machine learning
  • public health
  • gene expression
  • artificial intelligence
  • global health
  • dna methylation
  • climate change