CDISC
- Stage boundary
- No direct role is recorded for Learn + reuse.
- Known limitation
- Conformance is detailed and version-sensitive; transformations can preserve structure while losing source context.
Decision support
Place up to three profiles side by side. Focus on architectural role, evidence, and the first limitation to test—not on finding a single all-purpose standard.
Working set
1 of 3 selected
Decision lens
The useful question is not “Which standard wins?” It is “Which job must this part of the architecture perform, and what remains uncovered?”
Decide whether you need guidance, a domain payload, exchange, semantics, governance, or a reusable release.
Use the matrix to see where each profile has a direct role. A filled cell is coverage, not a quality score.
Read what each option leaves unresolved before judging maturity, confidence, or implementation fit.
Three-part assessment
Read left to right. Lifecycle reach comes first; maturity remains an editorial roll-up, not certification.
01 · Lifecycle reach
Coverage shows a recorded role at that readiness stage. It does not imply end-to-end implementation.
| Profile | Plan | Acquire | Harmonize | Exchange | Learn + reuse |
|---|---|---|---|---|---|
| CDISCStandard | CDISC Foundational Standards has a direct role in Plan. | CDISC Foundational Standards has a direct role in Acquire. | CDISC Foundational Standards has a direct role in Harmonize. | CDISC Foundational Standards has a direct role in Exchange. | CDISC Foundational Standards has no direct role recorded in Learn + reuse. |
02 · Boundaries
These are design boundaries, not faults. Use them to identify the companion layers your architecture still needs.
03 · Detailed assessment
Use the source, status, and limitation together. A higher maturity label does not erase a scope mismatch.
| Assessment | CDISCCDISC Foundational Standards |
|---|---|
| Purpose & coverage | Protocol-to-analysis clinical and nonclinical research data, including acquisition, tabulation, analysis, and submission structures. Best fitBest for regulated studies and traceable submission packages; less natural for early discovery or raw instrument output. |
| Readiness stages | PlanAcquireHarmonizeExchange |
| AI-ready contribution | Strong variable conventions and traceability help supervised learning, but harmonization, cohort context, and leakage controls remain separate work. |
| First limitation to test | Conformance is detailed and version-sensitive; transformations can preserve structure while losing source context. |
| Evidence | E1 + E2 High confidence Formal statusReleased suite; artifacts version independently ReviewSource-checked |
| Maturity | Established Regulatory production use |
| Sources & links | CDISC foundational standards (opens in a new tab)Read full profile |