Checklists
Use these checklists to review research data, documentation, metadata and repository records at different stages of preparation and publication.
Data and repository checklists
Practical checklists for reviewing FAIR readiness, data packages, repository deposits and metadata interoperability.
Initial checklist for assessing whether a dataset has the documentation, metadata, identifiers, access conditions and reuse information needed for FAIR preparation.
FAIR package pre-check checklist
Review files, README, manifest, metadata, provenance, access conditions, licences and package consistency before repository deposit or publication.
Review dataset files, repository metadata, access conditions, licences, documentation and identifiers before publishing a dataset in DataverseUA.
OpenAIRE compatibility checklist
Repository metadata, harvesting interface and linked research outputs prepared for OpenAIRE aggregation
How to use the checklists
Select the checklist corresponding to the current stage of data preparation, complete the review and record any actions that remain unresolved.
1. Select
Select the checklist that corresponds to your current preparation or publication stage.
2. Review
Review each criterion against the actual dataset, documentation and metadata.
3. Record
Mark each criterion as completed, not completed, not applicable or requiring clarification.
4. Correct
Resolve missing metadata, documentation, access, licensing or technical issues.
5. Confirm
Repeat the check before repository deposit, publication or metadata aggregation.