Place up to three profiles side by side. Compare their architectural role, lifecycle reach, and first limitation to test. No single standard covers every layer.
Working set
Choose profiles
1 of 3 selected
01
DDI-CDIData model / schema
Decision lens
Compare roles before choosing an implementation.
The useful question is not “Which standard wins?” It is “Which job must this part of the architecture perform, and what remains uncovered?”
01
Start with the job
Decide whether you need guidance, a domain payload, exchange, semantics, governance, or a reusable release.
02
Map lifecycle reach
Use the matrix to see where each profile has a direct role. A filled cell is coverage, not a quality score.
03
Test the boundary
Read what each option leaves unresolved before judging maturity or implementation fit.
Assessment
Review lifecycle coverage and practical fit.
Read left to right. Lifecycle reach comes first; a maturity label never overrides a scope mismatch.
01 · Lifecycle reach
Where each profile contributes directly
Coverage shows a recorded role at that readiness stage. It does not imply end-to-end implementation.
Readiness-stage coverage for DDI Cross-Domain Integration
Version 1.0 is new and model rich; adoption and tooling are still scaling, and practical interoperability requires a constrained profile rather than implementing every class.
03 · Detailed assessment
Check the fit and source behind the map
Use the official source, version, and limitation together. A higher maturity label does not erase a scope mismatch.
Detailed comparison of DDI Cross-Domain Integration
Datum-oriented descriptions of wide, long or event, multidimensional, key-value, and related data structures, plus foundational metadata and detailed process and provenance descriptions.
Best fitCross-domain integration where the same information appears in different structures and each transformation must remain understandable from business process to machine-level operation.
Readiness stages
AcquireHarmonizeExchangeLearn + reuse
AI-ready contribution
Makes source-to-feature structure and transformation logic machine-readable across heterogeneous data, while domain meaning, quality thresholds, and permitted use remain external.
First limitation to test
Version 1.0 is new and model rich; adoption and tooling are still scaling, and practical interoperability requires a constrained profile rather than implementing every class.
Maturity
Scaling
First production release with XML, JSON-LD, and RDF representations; implementation evidence is still developing