Glossary
Updated
A framework of policies, roles, processes, and tools that ensures data is cataloged, quality-checked, access-controlled, and compliant with regulations. It defines data ownership, stewardship responsibilities, metadata standards, classification schemes, and audit trails, enabling trusted data for analytics, AI, and decision-making across the organization.
Example
A pharmaceutical company implements a data-governance council that sets standards for clinical-trial data: all datasets must be cataloged in a central registry, pass automated quality checks (e.g., missing-value thresholds), and be encrypted at rest, ensuring trustworthy data for drug-safety models and regulatory submissions.