Cross-Framework Mapping

Japan AI GuidelinesvsDAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition)

See exactly how Japan AI Guidelines controls map to DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition). Pre-computed mappings, identified gaps, and coverage analysis.

2
Controls Mapped
11
Gaps Found
8%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Japan AI Guidelines maps to DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition) with 8% coverage across 1 directly mapped controls. Analysis of 13 Japan AI Guidelines controls identifies 12 compliance gaps — primarily concentrated in JP AI Third-Party + Supply Chain.

Source: TheArtOfService Knowledge Graph | 13 controls analysed | 718 frameworks | 330K+ cross-framework mappings

Control Mappings

Showing 2 of 2 mapped controls across 1 domains. Sign up to explore all 330K+ mappings across 718 frameworks.

JP AI Data Governance(2 mappings)

JP-AIG-Data-Governance-Training-Data-Quality-Provenance-Lineage-Copyright-APPI-Personal-Information-ProtectionJapan AI Guidelines Data Governance + Training Data Quality + Provenance + Lineage + Copyright Act 2018 Article 30-4 Text Data Mining Exception + APPI 2022 Amendment + Personal Information Protection + Privacy Principle2 targets
DIQ-2Data Quality Management
DIQ-3Metadata Management

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What are the key differences between Japan AI Guidelines and DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition)?

Japan AI Guidelines has 13 controls across its framework, while DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition) covers 46 controls. Direct mapping analysis identifies 1 overlapping controls (8% coverage). The frameworks diverge most significantly in JP AI Third-Party + Supply Chain, where 1 Japan AI Guidelines controls have no direct DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition) equivalent.

How many controls map between Japan AI Guidelines and DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition)?

Of 13 total Japan AI Guidelines controls, 1 map directly to DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition) controls — representing 8% coverage. The remaining 12 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Japan AI Guidelines to DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition)?

12 Japan AI Guidelines controls have no direct equivalent in DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition). The highest concentration of gaps is in JP AI Third-Party + Supply Chain with 1 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.

Which control domains have the most gaps between Japan AI Guidelines and DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition)?

The domain with the highest gap count is JP AI Third-Party + Supply Chain (1 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

This platform provides educational compliance tools, not legal, regulatory, or professional compliance advice. Cross-framework mappings are AI-assisted interpretations and do not reproduce or replace official standards. Framework names and trademarks belong to their respective owners. Consult qualified professionals for your specific compliance requirements. See our Terms of Service.