Data Quality rules and standards are a form of data.

Managed outside of the repository and only the results of data quality assessments stored as rules metadata

Documented consistently, tied to business impact, backed by data analysis, and accessible to all data consumers

Organized with metrics so the data stewards can review the data and see what rules apply

Focused on rules that can be integrated into application services

Focused on managing relationships that have gone wrong in the past and may go wrong in the future