Standards for data quality rules are established and enforced, including a categorization of rules by data quality dimension, how rules link to catalog assets and definitions, and where rules are cataloged; processes, roles and responsibilities govern creation, review and deployment of rules, with governance scaled to the business criticality of the data; lifecycle states for rules (from draft through approval and implementation to retirement) are specified and approved and transitions between them are managed; rules are reviewed regularly to stay relevant, with updates and decommissioning following change management; and changes are auditable, with rule descriptions, version history, change approval and deployment recorded so decisions can be traced back to the rules they relied on. The rule standard itself falls under governance and change management.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.