The joint GA4GH-IRDiRC Task Force on Automatable Discovery and Access (formerly Machine Readable Consent) has set out to develop tools to increasingly enable the discovery and access of biomedical resources such as data, biological specimens subjects and software. A key step in this process in the development of an “Automatable Discovery and Access Matrix (ADA-M)”, via which consent and other conditions of use can be represented in a standardized, computer-readable manner. ADA-M represents a first draft version of the concept, which is currently looking for Alpha-testers for evaluation and testing. Subsequently, based on the feedback received, the design of the ADA-M will be improved and a related API developed. Both tools will be publicly available via the GA4GH website.
The ADA Task Team is co-chaired by Anthony Brookes (University of Leicester) and John Wilbanks (SAGE Bionetworks), coordinated by Emily Kirby (P3G), and involves over 40 other international experts in data sharing.
For more information and to download the materials, click here.