Expanding Access to Large-Scale Genomic Data While Promoting Privacy: A Game Theoretic Approach.

ABSTRACT: Emerging scientific endeavors are creating big data repositories of data from millions of individuals. Sharing data in a privacy-respecting manner could lead to important discoveries, but high-profile demonstrations show that links between de-identified genomic data and named persons can sometimes be reestablished. Such re-identification attacks have focused on worst-case scenarios and spurred the adoption of data-sharing practices that unnecessarily impede research. To mitigate concerns, organizations have traditionally relied upon legal deterrents, like data use agreements, and are considering suppressing or adding noise to genomic variants. In this report, we use a game theoretic lens to develop more effective, quantifiable protections for genomic data sharing. This is a fundamentally d

SUBMITTER: Wan Z 

PROVIDER: S-EPMC5294764 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature