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Data Standards Management

bkjohn2018bybkjohn2018
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Database Management

Establishes and governs enterprise data standards across classification, quality, lineage, and integration to ensure audit-ready data products.

Data Standards Management bridges the gap between enterprise data governance strategy and day-to-day technical implementation. It defines baseline requirements for governed datasets, metrics, analytical models, and integrations by mapping standards to DAMA-DMBOK knowledge areas and NIST SP 800-53 security and privacy controls. Ideal for data stewards, enterprise architects, and compliance officers, this skill provides structured templates and step-by-step workflows to define testable requirements, assign clear accountability, establish audit evidence, and streamline exception handling for financial, sensitive, and business-critical data.

Key Features

01DAMA-DMBOK and NIST SP 800-53 control mapping across ten core data management domains
020 GitHub stars
03Rigorous exception management with documented rationale, expiration dates, and compensating controls
04Tailored control baselines for sensitive, regulated, and SOX-relevant financial data
05Standardized output templates covering ownership, testable requirements, evidence, and exceptions
06Clear separation between governance standards, asset-level implementation, and formal policy writing

Use Cases

01Harmonizing overlapping data quality, metadata, retention, and access standards across business domains
02Building or rationalizing an enterprise data standards catalog for new and existing data products
03Establishing compliance baselines and audit evidence requirements for SOX-critical financial reporting