# Data Management Foundations

> Applies DAMA-DMBOK aligned data management foundations across strategy, architecture, governance, quality, metadata, security, and lifecycle controls. Use when users ask for enterprise data management frameworks, operating models, role design, or maturity roadmaps. Use data-standards-management for detailed standards catalogs and data control requirements.

- Skill: `bkjohn2018/data-management-foundations` (Agent Skill)
- Install (CLI): `npx skillmds@latest add bkjohn2018/data-management-foundations`
- Raw SKILL.md: https://api.skillmd.com/api/skills/bkjohn2018/data-management-foundations/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- Author: bkjohn2018 (https://skillmd.com/u/bkjohn2018)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/bkjohn2018/data-management-foundations

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# Data Management Foundations

## When to Use
- Establishing or resetting enterprise data management scope.
- Defining how governance, architecture, quality, metadata, and security connect.
- Building a phased data management roadmap and target operating model.

## DMBOK Knowledge Areas Anchor
Use these anchors to organize recommendations:
1. Data Governance
2. Data Architecture
3. Data Modeling and Design
4. Data Storage and Operations
5. Data Security
6. Data Integration and Interoperability
7. Reference and Master Data
8. Data Warehousing and BI
9. Metadata Management
10. Data Quality Management
11. Data Management Maturity Assessment

## Workflow
1. Define business drivers and data management outcomes.
2. Assess current-state capabilities and pain points by knowledge area.
3. Define target operating model (owners, stewards, councils, controls).
4. Prioritize initiatives by risk, value, and feasibility.
5. Build a phased roadmap with metrics and governance checkpoints.

## Output Template
```markdown
# Data Management Foundation Blueprint

## Business drivers
- ...

## Current-state assessment
| Knowledge area | Current capability | Risk | Priority |
|---|---|---|---|

## Target operating model
- Governance structure:
- Key roles:
- Core controls:

## 12-month roadmap
- Quarter 1:
- Quarter 2:
- Quarter 3:
- Quarter 4:

## Success metrics
- ...
```

## Quality Checklist
- Recommendations map to explicit DMBOK knowledge areas.
- Roles distinguish accountability from stewardship.
- Roadmap balances quick wins and structural fixes.
- Success metrics measure business value and control effectiveness.