# ODGS:OS — Open Data Governance Standard Operating System # https://os.metricprovenance.com # Contact: info@metricprovenance.com > The first enforcement layer between your data infrastructure and the regulations you must comply with. ## What is ODGS? ODGS (Open Data Governance Standard) is a candidate standard at CEN/CENELEC JTC 25, aligned with NEN 381525. It provides a formal, machine-readable definition layer for data governance — enabling cryptographic enforcement of data quality, lineage, and compliance at runtime. Unlike passive governance tools (Collibra, Monte Carlo, dbt) that observe and report, ODGS enforces. It sits in the execution path between your data pipeline and your AI systems, blocking non-conforming data before it reaches downstream consumers. ## Why ODGS Exists The EU AI Act (Regulation 2024/1689) becomes enforceable for High-Risk AI systems on **August 2, 2026**. Article 99 penalties reach **7% of global annual turnover**. Under strict liability, you cannot comply using probabilistic observability tools — you need deterministic enforcement. ODGS provides: - **Runtime Hard Stops**: Validate data at inference time (<10ms). Non-conforming data is blocked, not just flagged. - **Cryptographic Signing**: Every metric definition gets a SHA-256 hash. Every validation produces a signed S-Cert (Semantic Certificate). - **Forensic Audit Trail**: Full Article 12 compliance — cryptographic proof of what data meant at the moment of every AI decision. ## Core Protocol - **72 Standard Metrics** covering completeness, accuracy, timeliness, consistency, uniqueness, and validity - **60 Data Quality Dimensions** mapped to regulatory requirements - **7 Sovereign Regulation Packs**: EU AI Act, DORA, Basel III, GDPR, MiFID II, and more - **50+ Runtime Enforcement Rules** compiled from regulation text into executable policy ## Technical Architecture - **Protocol Version**: v6.0.2 - **Standard**: ODGS v5 (CEN/CENELEC JTC 25 candidate) - **Deployment**: Web, Docker, Kubernetes, air-gapped - **Integration**: Bridge Connectors for dbt, Spark, Airflow, Snowflake, Databricks - **AI Layer**: Agent Telemetry for LLM/ML pipeline governance - **Signing**: Ed25519 via GCP KMS / AWS KMS / local HSM ## Industry Applications - **Financial Services**: DORA, Basel III, MiFID II, GDPR, AI Act compliance - **Healthcare & Pharma**: EHDS, MDR, GDPR, AI Act compliance - **Government & Public**: NEN standards, WOO, GDPR, AI Act compliance - **Technology**: AI Act, GDPR, Digital Services Act compliance - **Manufacturing**: EU Machinery Regulation, AI Act, REACH compliance - **Energy & Utilities**: REMIT, AI Act, GDPR compliance - **Retail & E-Commerce**: Consumer Protection, GDPR, AI Act compliance ## Company Built by **Metric Provenance B.V.** (Netherlands) - Website: https://metricprovenance.com - Platform: https://platform.metricprovenance.com - GitHub: https://github.com/MetricProvenance - PyPI: https://pypi.org/project/odgs/ - Standard: https://github.com/MetricProvenance/odgs-v5 ## Links - Live OS: https://os.metricprovenance.com - Documentation: https://github.com/MetricProvenance/odgs-v5 - MCP Server: https://github.com/MetricProvenance/odgs-mcp-server - Contact: info@metricprovenance.com