DUOS Blog

The article titled “Leveraging Algorithms to Improve Decision-Making Workflows for Genomic Data Access and Management” (DOI: 10.1089/bio.2022.0042) explores the potential of Automated Decision Support (ADS) systems to enhance the efficiency, consistency, and fairness of data access processes in genomic research. The authors, including Jonathan Lawson, discuss how ADS systems, exemplified by the Global Alliance for Genomics and Health’s Data Use Ontology (DUO) and the Broad Institute’s Data Use Oversight System (DUOS), can standardize data access decisions by translating consent-based data use restrictions into machine-readable terms. This approach aims to alleviate the burden on Data Access Committees (DACs), reduce inconsistencies in decision-making, and expedite researchers’ access to data. The article also addresses the ethical, legal, and social implications of implementing ADS systems, emphasizing the need for policies that balance technological advancements with the protection of participant rights and the promotion of public trust in data governance.​