Quality, Metadata, and Lineage

Data governance

Data governance defines how data is owned, managed, protected, and used. It needs responsibilities people can act on, not just a policy document.

A policy can say that a dataset is sensitive, but someone still has to classify it, grant access, and review whether that access remains appropriate.

Put those responsibilities into the operating process. Governance becomes useful when it helps people make and enforce the decisions surrounding real data.

Connect those responsibilities to the systems: definitions, access decisions, quality checks, and change procedures should have clear owners.