01
Where it fits—and where it doesn’t
Use these four checks before committing implementation time.
- Use it when
- Lightweight packaging and validation of assay exports, reference tables, tabular analysis results, and other file-based data products.
- Do not use it as
- Do not treat Data Package as a complete solution on its own. It does not supply biological semantics, full provenance, privacy policy, repository trust, or ML-specific intended-use and bias documentation.
- Best for
- Teams working with Discovery and Laboratory and Cross-cutting data across Harmonize → Exchange → Learn + reuse.
- Maturity
- ScalingUsable today, with adoption or tooling still scaling; pilot the exact stack you plan to run.
02
See it in the workflow
A standard creates value by changing a handoff, not by existing in a catalog.
- InputWhat starts
Discovery and Laboratory and Cross-cutting data, metadata, and the local decisions around them
- Data PackageWhat changes
Data Package applies a shared data model / schema across Harmonize → Exchange → Learn + reuse
- OutputWhat becomes possible
A more consistent, reviewable handoff for the next system or team
03
A concrete example
A release includes a v2 datapackage.json with stable identity, version, license, sources, contributors, resources, and Table Schemas for tabular files.
Why it matters: Machine-readable resources, field types, missing-value conventions, and categories improve loading and validation, but labels, splits, cohort meaning, and fitness remain external.
04
What it fits with
Can carry DataCite-aligned contributor roles and identifiers, sit inside an RO-Crate, and provide structural metadata beneath a Croissant ML description.
- FrameworkFAIR
Both support Cross-cutting work and meet around Harmonize, Exchange, Learn + reuse. Compare their roles before treating them as interchangeable.
Explore relationship - Data model / schemaAllotrope
Both support Laboratory and Discovery work and meet around Harmonize, Exchange. Compare their roles before treating them as interchangeable.
Explore relationship - Ontology ecosystemOBO Foundry
Both support Discovery and Laboratory work and meet around Harmonize, Learn + reuse. Compare their roles before treating them as interchangeable.
Explore relationship - Ontology / data modelPROV-O
Both support Cross-cutting work and meet around Harmonize, Exchange, Learn + reuse. Compare their roles before treating them as interchangeable.
Explore relationship
05
Implementation starter
Start with one bounded handoff. Pin, test, and review it before scaling.
Name an accountable owner and the decision Data Package must support.
Pin the exact version and companion artifacts: 2.0 · current.
Map one representative input to the required data model / schema artifacts.
Test the result against the canonical source and record every exception.
Preserve the source data, mappings, and review evidence before scaling.
06
Limitation to test first—and the tests that catch it
It does not supply biological semantics, full provenance, privacy policy, repository trust, or ML-specific intended-use and bias documentation.
Run one representative end-to-end pilot and record exactly where Data Package loses context, needs an extension, or depends on another standard.
A structured or machine-readable result can still be unfit for analysis or AI.
Test the output for missing context, provenance, terminology alignment, time leakage, and the intended downstream decision. Machine-readable resources, field types, missing-value conventions, and categories improve loading and validation, but labels, splits, cohort meaning, and fitness remain external.
07
Why we believe this
Checked against the canonical source plus implementation or adoption evidence reported by the steward or its community.
Evidence notation: E1 + E3. The code is shorthand; the plain-language statement above is the claim.
08
Source shelf
Official diagrams, examples, specifications, and explainers. Nothing external loads until you choose to open it.
Data Package Standard v2
The canonical publisher or steward source used to verify this data model / schema profile.
- Publisher
- Data Package Working Group
- Rights
- Rights remain with the publisher; this knowledge base links to the source rather than copying it.
- Access
- Opens the publisher's source in a new tab; no external media loads on this page.
- Verified
- 2026-07-13