Open Repository Deposit
De-identified datasets can be archived in recognized repositories with stable accession links.
Data Sharing and Reuse Policy
Data Archiving Permissions
Data Archiving Permissions
Journal of Osteoarthritis and Cartilage
Support reproducible osteoarthritis science with transparent archiving pathways, clear access statements, and practical governance detail.
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Data Governance
Data Archiving Permissions and Transparency
JOC supports responsible archiving practices that enable verification and reuse while respecting privacy and legal obligations.
Journal of Osteoarthritis and Cartilage encourages data availability statements that provide practical access guidance for readers and secondary analysts.
When full public release is not feasible, controlled access pathways should be documented with clear eligibility and review criteria.
Transparent data governance strengthens trust in study conclusions and improves reproducibility confidence.
Accepted Models
Permitted Data Archiving Approaches
Different studies may require different data sharing pathways, but all must include clear disclosure.
Controlled Access Repositories
Sensitive datasets may use governed-access systems with documented request pathways.
Institutional Data Portals
University or hospital repositories are acceptable when access details are explicit.
Supplementary Files
Non-sensitive supporting datasets may be included in publication supplements.
Code Sharing
Analytical scripts should include version context and dependency notes.
Metadata-Only Notice
Where release is restricted, metadata should still indicate dataset existence and contact route.
Statement Requirements
What Authors Must Include
Data statements should be operationally useful and aligned with ethics approvals.
- Repository name, persistent identifier, and stable URL when available.
- Description of dataset scope and whether files are raw, processed, or aggregated.
- Access conditions including open, controlled, embargoed, or request-based access.
- Legal, ethical, or contract constraints that affect redistribution rights.
- Contact details and expected process for controlled access requests.
- Versioning information if datasets or scripts may be updated after publication.
Data and code policies should be planned during manuscript drafting, not after acceptance, to prevent avoidable production delays.
If access is restricted, provide clear rationale so readers can interpret reuse limits transparently.
Reproducibility Value
Why Archiving Quality Matters for the Field
High-quality archiving supports cumulative evidence building across osteoarthritis and cartilage research.
Structured data disclosures make it easier for reviewers, replication teams, and evidence synthesis groups to evaluate analytical reliability.
Transparent archiving also supports cross-study comparisons and improves confidence in translational interpretation.
JOC may request clarification when data statements are incomplete or inconsistent with ethics and consent declarations.
Best practice: include data governance details in the first submission to reduce revision friction and accelerate publication readiness.
Data statements should specify repository path, access conditions, and request governance details.
Controlled-access datasets must document review criteria and expected response timelines.
Versioning information is required when archived datasets may be updated post-publication.
De-identification methods should be explained to balance privacy with analytical usefulness.
Code and environment notes help secondary analysts validate findings more efficiently.
Data statements should specify repository path, access conditions, and request governance details.
Controlled-access datasets must document review criteria and expected response timelines.
Versioning information is required when archived datasets may be updated post-publication.
De-identification methods should be explained to balance privacy with analytical usefulness.
Code and environment notes help secondary analysts validate findings more efficiently.
Data statements should specify repository path, access conditions, and request governance details.
Controlled-access datasets must document review criteria and expected response timelines.
Versioning information is required when archived datasets may be updated post-publication.
De-identification methods should be explained to balance privacy with analytical usefulness.
Code and environment notes help secondary analysts validate findings more efficiently.
Data statements should specify repository path, access conditions, and request governance details.
Controlled-access datasets must document review criteria and expected response timelines.
Versioning information is required when archived datasets may be updated post-publication.
De-identification methods should be explained to balance privacy with analytical usefulness.
Code and environment notes help secondary analysts validate findings more efficiently.
Data statements should specify repository path, access conditions, and request governance details.
Controlled-access datasets must document review criteria and expected response timelines.
Versioning information is required when archived datasets may be updated post-publication.
De-identification methods should be explained to balance privacy with analytical usefulness.
Code and environment notes help secondary analysts validate findings more efficiently.
Submit with Strong Data Transparency
Prepare data and code statements early to strengthen review confidence and publication efficiency.
Editorial office: [email protected]
