References: Data Governance and Quality

1. Data governance - Wikipedia - Comprehensive overview of data governance principles, frameworks, and roles including data stewards and chief data officers. Anchors the chapter's governance framing.

2. Master data management - Wikipedia - Detailed coverage of MDM architectures, golden-record creation, and identity reconciliation. Foundation for the chapter's MDM section.

3. Data quality - Wikipedia - Discussion of data quality dimensions (accuracy, completeness, timeliness, consistency, validity) used throughout this chapter's frameworks.

4. The DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK2) - DAMA International - Technics Publications - The authoritative reference for data governance, stewardship, lineage, and quality; the source most data governance certifications draw from.

5. Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program (2nd Edition) - John Ladley - Academic Press - Practitioner-focused guide on standing up real governance programs; especially useful for the chapter's policy and operating-model content.

6. DAMA Wheel and DMBOK Framework - DAMA International - Authoritative description of the eleven knowledge areas in the DAMA wheel referenced in this chapter.

7. Data Lineage Best Practices - IBM - Clear vendor-neutral explanation of data lineage, its automation, and its role in trust and compliance. Directly supports the lineage section.

8. Open Data Quality Framework - Data Governance Institute - Free reference framework covering the rules, decision rights, and accountabilities that constitute a working governance program.

9. Six Dimensions of Data Quality - DATAVERSITY - Practical breakdown of the six commonly cited data-quality dimensions with concrete examples and measurement techniques.

10. Privacy by Design Principles - International Association of Privacy Professionals - Cavoukian's seven foundational principles, central to the privacy-meets-governance discussion later in this chapter.