Data Science & Analytics
Data Translator Standards and Reference Implementations
Description
The NCATS Biomedical Data Translator program applies semantic integration strategies to share chemical, genetic, phenotypic, disease, ontological, and other ‘knowledge sources’. Taken together, the >300 knowledge sources form an integrated data ecosystem and technology platform—the Translator system—to support clinical and translational science. RENCI contributes to three Translator Projects, including the Standards and Reference Implementations (SRI) team. This team is responsible for producing a suite of standards and tools, a model for their governance, and processes to coordinate the integration of Translator teams and the shared implementation of tools and standards:
- Community governance coordination aims to develop software with community buy-in in order to ensure an effective collaboration environment and drive consortium-wide consensus on other Translator components.
- Architecture and API specifications drive community efforts to define details of project architecture and communication protocols for program components.
- The Biolink model defines the standard entity types, relationship types, and schema shared by all Translator components, including related utility libraries and a novel approach to accommodate flexible data modeling perspectives.
- Integrated reference ontologies provide Biolink-compliant terms and relationships.
- A continually-updated knowledge graph provides Translator with a standardized and integrated global view of the whole information landscape.
- Next-generation shared Translator services aim to remove integration barriers by providing services to support validation, lookup, and mapping functionality for use across Translator.
RENCI's Role
Chris Bizon is one of three multiple PIs for this project.