Open Data Governance Standard (ODGS)

From Governance Documents to Runtime Dependencies

Across 25 years of global enterprise transformations, the same failure pattern repeated in every industry: business rules lived in PDFs, while data flowed through pipelines—and the two never met.

The Open Data Governance Standard (ODGS) (v6.1.0 on GitHub, PyPI, and NPM under Apache 2.0; DOI: 10.5281/zenodo.18564270) is the structural fix:

• Decoupled Semantic Contracts: Separates normative business definitions and quality rules from vendor-specific compute engines (Snowflake, Databricks, dbt, BigQuery, Collibra).
• Synchronous Runtime Interception: Physically blocks pipelines or AI agents (odgs-mcp-server) from executing when upstream data or metric definitions drift outside legal or operational tolerances.
• Cryptographic Provenance Receipts: Emits verifiable, tamper-evident SHA-256 execution certificates aligned with ISO/IEC 38505-1, ISO/IEC 25012, ISO 8000-8, and W3C ODRL 2.2.

Public Open-Source Repositories

• Specification & Protocol Schemas: github.com/MetricProvenance/odgs-protocol
• Core Reference Engine (odgs): github.com/MetricProvenance/odgs-core
• Model Context Protocol Server (odgs-mcp-server): github.com/MetricProvenance/odgs-mcp-server
• 8-Pillar Maturity Engine (odgs-maturity): github.com/MetricProvenance/odgs-maturity
• Dataspaces & TNO FLINT Bridges: odgs-dataspaces-bridge · odgs-flint-bridge