Bridge2AI Standards Registry data models, API specification, and other documentation.

Data objects are defined according to the standards-schemas.

This Registry is assembled as part of the Bridge2AI program. Its overall purpose is to support generation of standardized, interoperable, and machine-readable data from biomedical research.

The standards in the registry fall into three categories:

1. Standards for structuring data used for testing, training, and validating AI models (e.g., genomics file formats and standards for EHR data such as FHIR, OMOP, and ISO).
2. Standards for describing specific datasets (i.e., standard computable elements associated with specific data types for use in Datasheets¹).
3. Standards for describing machine learning models themselves (i.e., standard computable elements associated with specific ML models for use in Model Cards²).

Where possible, existing standards (e.g., minimal information specifications^3-5) are used to inform data element selection. The Registry also includes records for standards outside the scope of data modeling, such as specifications for preferred file formats, exchange protocols, and common APIs.

Our Standards Registry goals are threefold:

1. Ensure integration of the standards development lifecycle within the context of B2AI activities.
2. Narrow the large space of standards to what is relevant.
3. Provide computational access and utilities for schemas and standards, rather than links to often outdated PDFs.

• docs - Project documentation
• project
  • data - Generated data serializations.
• src/ - source files
  • schema - a copy of the standards-schemas - see https://github.com/bridge2ai/standards-schemas
  • data - Data in YAML format

The Standards Registry contains three main components: the list of standards and tools, the list of use cases, and the collection of associated metadata types (spanning organizations, data topics, and data substrates).

For a quick overview of each of these components, see the following tab-delimited files:

Use the make command to generate project artifacts:

• make all: make everything
• make update-schemas: update the standards-schemas
• make all-data: make data serializations
• make test: test the validators
• make validate: validate the data
• make site: prepare data documentation site
• make deploy: deploys site

Please see the src/data directory for data in YAML format or the project/data directory for other formats.

TBD - We will enable programmatic access to the Registry via standardized APIs to query standards metadata, elements, and validation rules.