Decision support

Compare standards by the job they do

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

Data PackageData model / schema

Add a profile

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?”

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 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 Data Package Standard
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.

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.

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 Data Package Standard
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.
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