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References: Data Quality, Stewardship, and Compliance

  1. Data deduplication - Wikipedia - Explains techniques for eliminating duplicate copies of data, supporting the chapter's worked example of Maria Chen's record appearing twice and inflating a population-health query's patient count.

  2. Data classification (data management) - Wikipedia - Covers organizing data into risk-based categories, matching the chapter's four-tier Public/Internal/Confidential/Restricted classification scheme and its sensitivity-label mechanism.

  3. Change data capture - Wikipedia - Describes design patterns for detecting and streaming inserts, updates, and deletes from a source system, directly supporting the chapter's admit-discharge-transfer CDC example for real-time updates.

  4. Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (2nd Edition) - Danette McGilvray - Academic Press - McGilvray is credited with originating the trademarked "Ten Steps" methodology, the most widely adopted structured framework for scoping a data quality project, underlying the chapter's data quality score discussion.

  5. Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection - Peter Christen - Springer - Christen is the field's leading reference author on deduplication algorithms (blocking, comparison functions, classification), the exact matching techniques the chapter describes for merging duplicate patient nodes.

  6. Change Data Capture (CDC) - GeeksforGeeks - A practitioner-oriented explanation of CDC implementation patterns that complements the chapter's discussion of streaming graph updates from admit-discharge-transfer messages.

  7. CMS Quality Reporting and Value-Based Programs - Centers for Medicare & Medicaid Services - Documents the actual federal quality-reporting programs the chapter's regulatory compliance reporting section references as evidence organizations must submit to regulators.

  8. NIST SP 800-60: Guide for Mapping Types of Information and Information Systems to Security Categories - National Institute of Standards and Technology - The federal methodology for classifying information by sensitivity and impact, grounding the chapter's data classification and sensitivity-label discussion in an official standard.

  9. What is Data Duplication? - GeeksforGeeks - A concise technical explanation of duplicate detection and removal that reinforces the chapter's graph-specific deduplication technique of merging duplicate nodes' edges onto one surviving node.

  10. Data Quality Management - GeeksforGeeks - Introduces the processes and metrics organizations use to measure data quality, supporting the chapter's composite data quality score formula weighting completeness, accuracy, and consistency.