01
Where it fits and where it does not
Use these four checks before committing implementation time.
- Use it when
- Portable dataset packages, workflow exchange, preservation, publication, and handoff between repositories and compute environments.
- Limits
- Core conformance is deliberately lightweight; interoperability depends on shared profiles and validation beyond the base crate.
- Best for
- Discovery and Omics and Cross-cutting teams working across Exchange → Learn + reuse.
- Maturity
- ScalingUsable now, but adoption or tooling is still developing. Pilot the exact stack first.
02
See it in the workflow
This view shows the input, the change the standard introduces, and the resulting output.
- InputWhat starts
Discovery and Omics and Cross-cutting source data, metadata, and local mappings
- RO-CrateWhat changes
Use RO-Crate as a pinned data model / schema across Exchange → Learn + reuse
- OutputWhat becomes possible
A handoff the next system or team can validate against the same release
03
A concrete example
A model-training release packages source datasets, preprocessing workflow, environment, outputs, authors, license, and citations.
Why it matters: Bundles the context an agent needs to inspect and reuse a dataset or workflow, but does not standardize table-level ML semantics.
04
What it fits with
Uses Schema.org and Bioschemas terms; profiles add workflow-run or domain detail; PROV-O can deepen lineage.
- Metadata profileBioschemas
Both support Discovery and Omics and Cross-cutting work and meet around Exchange, Learn + reuse. Compare their roles before treating them as interchangeable.
Explore relationship - Metadata vocabularyDPV
Both support Omics and Cross-cutting work and meet around Exchange, Learn + reuse. Compare their roles before treating them as interchangeable.
Explore relationship - Data model / schemaData Package
Both support Discovery and Cross-cutting work and meet around Exchange, Learn + reuse. Compare their roles before treating them as interchangeable.
Explore relationship - Data model / schemaPDBx/mmCIF
Both support Discovery and Omics work and meet around 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.
Define one handoff, its accountable owner, and the decision RO-Crate must support.
Pin the exact version and companion artifacts: 1.3 Recommendation · 2026-06-22.
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
Test the main limitation
Core conformance is deliberately lightweight; interoperability depends on shared profiles and validation beyond the base crate.
Run one representative end-to-end pilot and record exactly where RO-Crate loses context, needs an extension, or depends on another standard.
Machine-readable output may still be unfit for analysis or ML.
Test the output for missing context, provenance, terminology alignment, time leakage, and the intended downstream decision. Bundles the context an agent needs to inspect and reuse a dataset or workflow, but does not standardize table-level ML semantics.
07
Official resources
Specifications, diagrams, examples, and guides from the organizations that maintain them.
RO-Crate 1.3 specification
Official publisher or steward guidance for this data model / schema profile.
- Publisher
- Research Object community