Data Package
- Stage boundary
- No direct role is recorded for Plan, Acquire.
- Known limitation
- It does not supply biological semantics, full provenance, privacy policy, repository trust, or ML-specific intended-use and bias documentation.
Decision support
Compare standards by the job they do
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
Choose profiles
1 of 3 selected
Data PackageData model / schema
Decision lens
Compare roles before you compare maturity.
The useful question is not “Which standard wins?” It is “Which job must this part of the architecture perform, and what remains uncovered?”
- Start with the job
Decide whether you need guidance, a domain payload, exchange, semantics, governance, or a reusable release.
- Map lifecycle reach
Use the matrix to see where each profile has a direct role. A filled cell is coverage, not a quality score.
- Test the boundary
Read what each option leaves unresolved before judging maturity, confidence, or implementation fit.
Three-part assessment
See the reach, the gaps, and the evidence.
Read left to right. Lifecycle reach comes first; maturity remains an editorial roll-up, not certification.
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.
| Profile | Plan | Acquire | Harmonize | Exchange | Learn + reuse |
|---|---|---|---|---|---|
| Data PackageData model / schema | Data Package Standard has no direct role recorded in Plan. | Data Package Standard has no direct role recorded in Acquire. | Data Package Standard has a direct role in Harmonize. | Data Package Standard has a direct role in Exchange. | Data Package Standard has a direct role in Learn + reuse. |
Direct role recordedNo direct role recorded
02 · Boundaries
What each option does not cover
These are design boundaries, not faults. Use them to identify the companion layers your architecture still needs.
03 · Detailed assessment
Check the fit and evidence behind the map
Use the source, status, and limitation together. A higher maturity label does not erase a scope mismatch.
| Assessment | Data PackageData Package Standard |
|---|---|
| Purpose & coverage | A JSON descriptor for a coherent collection of resources, plus Data Resource, Table Schema, and Table Dialect specifications. Best fitLightweight packaging and validation of assay exports, reference tables, tabular analysis results, and other file-based data products. |
| Readiness stages | HarmonizeExchangeLearn + reuse |
| AI-ready contribution | Machine-readable resources, field types, missing-value conventions, and categories improve loading and validation, but labels, splits, cohort meaning, and fitness remain external. |
| First limitation to test | It does not supply biological semantics, full provenance, privacy policy, repository trust, or ML-specific intended-use and bias documentation. |
| Evidence | E1 + E3 Medium confidence Formal statusReleased Data Package Standard 2.0 ReviewSource-checked · watch |
| Maturity | Scaling Released v2 standard; implementation migration from v1 is ongoing |
| Sources & links | Data Package Standard v2 (opens in a new tab)Read full profile |