Skip to main content

12 posts tagged with "In the news"

View All Tags

Introducing the AnVIL

· One min read

​The article titled “Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space” (DOI: 10.1016/j.xgen.2021.100016) introduces the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL), a cloud-based platform designed to revolutionize genomic data sharing and analysis. Traditionally, genomic data sharing has involved downloading large datasets to local infrastructure, posing challenges in terms of data security, storage, and computational resources. AnVIL inverts this model by bringing researchers to the data within a secure, scalable cloud environment, thereby enhancing data accessibility and collaborative research efforts. The platform integrates various tools and resources, facilitating efficient data analysis while ensuring compliance with ethical and legal standards. The authors, including Jonathan Lawson, emphasize the need for policy advancements to fully leverage such technological innovations, advocating for frameworks that support secure, equitable, and efficient data sharing to drive scientific discovery.​

DAC v. Algorithm…or DAC + Algorithm. A look forward in genomic data access.

· One min read

The article titled “Empirical validation of an automated approach to data use oversight” (DOI: 10.1016/j.xgen.2021.100031) presents a study evaluating the effectiveness of the Data Use Oversight System (DUOS), an open-source platform designed to automate data access decisions in genomic research. By leveraging the Global Alliance for Genomics and Health’s (GA4GH) Data Use Ontology (DUO), DUOS translates data use limitations and research proposals into a standardized, machine-readable format. The study demonstrated that DUOS could accurately replicate human Data Access Committee (DAC) decisions, successfully structuring 96% of evaluated data use limitations and 100% of research proposals using DUO terms, with complete concordance between automated and manual reviews. These findings suggest that integrating DUOS into data governance workflows can enhance efficiency and scalability, addressing the growing demand for genomic data access while maintaining ethical standards.​