Japan AI GuidelinesvsISO/IEC 25012:2008 - Data Quality Model
See exactly how Japan AI Guidelines controls map to ISO/IEC 25012:2008 - Data Quality Model. Pre-computed mappings, identified gaps, and coverage analysis.
Need this as a report you can hand to an assessor? A coverage crosswalk for this pair can be built to order.
According to the TheArtOfService Compliance Knowledge Graph:
Japan AI Guidelines maps to ISO/IEC 25012:2008 - Data Quality Model with 15% coverage across 2 directly mapped controls. Analysis of 13 Japan AI Guidelines controls identifies 11 compliance gaps, primarily concentrated in JP AI Third-Party + Supply Chain.
Source: TheArtOfService Knowledge Graph | 13 controls analysed | 692 frameworks | 306K+ cross-framework mappings
Control Mappings
Showing 4 of 4 mapped controls across 2 domains. Sign up to explore all 306K+ mappings across 692 frameworks.
JP AI Data Governance(3 mappings)
JP AI Safety + AISI(1 mappings)
A Japan AI Guidelines to ISO/IEC 25012:2008 - Data Quality Model crosswalk, built to order
The table above lists candidate mappings. A crosswalk answers the narrower question you are probably here for: which ISO/IEC 25012:2008 - Data Quality Model controls your existing Japan AI Guidelines work already satisfies, which are real gaps, and the reasoning behind every claim so you can check it. One pair, $299, one time.
This direction has not been through crosswalk review and sign off, so no coverage figure is published for it. Reporting an unreviewed number would be worse than reporting none. It can be built to order at the same price as a pair that is already on the shelf.
If the two frameworks turn out to have too little in common for a crosswalk to help you, we say so and refund it rather than send a number worth nothing.
This direction has not been through crosswalk review and sign off, so no coverage figure is published for it. Reporting an unreviewed number would be worse than reporting none. It can be built to order at the same price as a pair that is already on the shelf.
If the two frameworks turn out to have too little in common for a crosswalk to help you, we say so and refund it rather than send a number worth nothing.
- Every evidenced control, with the reasoning behind it
- Every gap, with what it requires
- Its level of review stated plainly, not a bare number
Why this page shows two different percentages. The 15% in the header counts how many Japan AI Guidelines controls carry at least one candidate mapping in the graph, before any review. The crosswalk percentage counts something stricter: how many ISO/IEC 25012:2008 - Data Quality Model controls are actually evidenced, after a pass that argued against each mapping and kept only what survived. They answer different questions and they are not meant to agree.
A crosswalk narrows the work. It does not replace an audit, and your assessor may take a different view on individual controls. Mappings between frameworks are judgements, not text printed in either standard, which is why every claim in the report shows its reasoning. Questions go to support@theartofservice.com.
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What are the key differences between Japan AI Guidelines and ISO/IEC 25012:2008 - Data Quality Model?
Japan AI Guidelines has 13 controls across its framework, while ISO/IEC 25012:2008 - Data Quality Model covers 36 controls. Direct mapping analysis identifies 2 overlapping controls (15% coverage). The frameworks diverge most significantly in JP AI Third-Party + Supply Chain, where 1 Japan AI Guidelines controls have no direct ISO/IEC 25012:2008 - Data Quality Model equivalent.
How many controls map between Japan AI Guidelines and ISO/IEC 25012:2008 - Data Quality Model?
Of 13 total Japan AI Guidelines controls, 2 map directly to ISO/IEC 25012:2008 - Data Quality Model controls, representing 15% coverage. The remaining 11 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 ISO/IEC 25012:2008 - Data Quality Model?
11 Japan AI Guidelines controls have no direct equivalent in ISO/IEC 25012:2008 - Data Quality Model. 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 ISO/IEC 25012:2008 - Data Quality Model?
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.
Related Resources
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.