The Open Specification for
Deterministic Data
Self-describing data models with embedded semantics, structural validation, and payload-bound governance. Data carries its own meaning. No translation. No inference. No guessing.
Developed by an international team of researchers and developers with more than 30 years of open source experience in semantic data modeling and health informatics. Meet the team
Featured Projects
The core open source tools for deterministic data validation and governance.
SDCRM
Reference Model - MIT
The SDC4 specification. Defines how data is structured, validated, and enriched with semantic meaning. Built on XML Schema 1.1, RDF, OWL, SHACL.
sdcgovernance
Governance Engine - Apache 2.0
W3C standards-based governance advisory engine. XACML decisions, PROV-O provenance, workflow validation, MCP server. 225 tests.
sdcvalidator
Structural Validator - Apache 2.0
SDC4 structural validator. XSD schema compliance, two-tier error classification, CLI tools. Available on PyPI.
Features
Self-describing data, type safety, semantic identity, constraint enforcement.
How It Works
Model, generate, validate, query. The SDC pipeline from data model to knowledge graph.
Standards
Built on 17+ W3C, ISO, and IETF standards. Standing on shoulders, not inventing.
Comparisons
Healthcare, government, business, IoT. How SDC compares to existing standards.
17 open source repositories across two GitHub organizations. Apache 2.0 licensed.
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