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Standard

Data Architecture Standard

This standard governs the data architecture practice: how data is modelled, owned, integrated, served, and retired across the organization. It complements the data classification and handling standard (which governs the controls applied to data) and the privacy and data governance policy (which governs the organization's privacy posture) by addressing the architectural choices that determine how data flows and is consumed.

Type
Standard
Version
1.0.3
Date
2026-07-02
Owner
Chief Technology Officer
Approving authority
Governance Library Maintainer
Classification
Public
Confidentiality
Public
Category
Architecture
Review frequency
Annual and upon material change to data platforms, sources, or governance practice
Licence
CC BY-SA 4.0

Read the full text on GitHub (opens in a new tab)

Outline

  • 1. Purpose
  • 2. Scope
  • 3. Principles
  • 4. Data domains and ownership
  • 5. Data classification and sensitivity
  • 6. Schemas and contracts
  • 7. Data integration
  • 8. Data quality
  • 9. Lineage and provenance
  • 10. Data lifecycle
  • 11. Analytical and AI data platforms
  • 12. Data sharing and customer-facing data
  • 13. Master data and reference data
  • 14. Governance forum and roles
  • 15. Relationship to adjacent governance artefacts
  • 16. Anti-patterns
  • 17. Operating expectations
  • 18. Framework alignment
  • 19. Limitations

Frameworks it maps to

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