Data Archiving Permissions
Data transparency strengthens glaucoma research by allowing verification, replication, and secondary analysis. The International Journal of Glaucoma encourages responsible data sharing that balances openness with patient privacy and regulatory requirements.
Clear data statements help readers interpret results and support evidence based clinical decision making.
Data sharing expectations
The International Journal of Glaucoma supports transparent and reproducible research. Authors are encouraged to share data whenever possible and to provide clear statements about data access so that findings can be validated and built upon.
All submissions must include a data availability statement. This statement should describe where the data are stored, how they can be accessed, or why access is restricted.
Data availability statement examples
- Data are openly available in a public repository with a persistent identifier.
- Data are available from the corresponding author on reasonable request.
- Data cannot be publicly shared due to ethical or privacy restrictions but may be accessed under a data use agreement.
- All data are included within the article and its supplementary files.
Place the data availability statement in a dedicated section of the manuscript so reviewers and readers can locate it easily.
Indicate any access conditions or embargo periods directly in the statement.
Repository selection
Choose repositories that provide stable identifiers and clear access terms. General repositories are acceptable when domain specific archives are not available.
- Zenodo, Figshare, Dryad, OSF, or Harvard Dataverse
- Institutional repositories that provide persistent links
- Clinical trial registries for protocol transparency with linked datasets
FAIR aligned data practices
We encourage data that are findable, accessible, interoperable, and reusable. Clear metadata, variable definitions, and codebooks improve the value of shared datasets and support secondary analyses.
Code and analytical scripts
If custom code or statistical scripts were used, consider sharing them in a repository alongside the dataset. Provide version information and dependencies to improve reproducibility.
Data citation
When data are deposited in a repository, cite the dataset in the reference list and include the persistent identifier in the data availability statement. This ensures contributors receive credit for shared resources.
If data are shared under a specific license, state the reuse terms clearly so secondary users understand permissible applications.
Permissions and privacy
For studies involving human participants, data must be de identified and shared only with appropriate consent. Authors are responsible for ensuring that data sharing aligns with ethics approvals and local regulations.
- Remove personal identifiers and sensitive metadata
- Document consent for data sharing or explain restrictions
- Use controlled access repositories for sensitive clinical datasets
For imaging datasets, remove patient identifiers embedded in file headers and ensure that facial or ocular images are shared only with explicit publication consent.
Embargoes and restricted access
Embargo periods may be acceptable when required by funders or collaborators. If data are restricted, clearly state the terms and expected timeline for release.
Data Access Models
Open Data
Data are deposited in a public repository with a DOI or accession number and can be reused with attribution.
Controlled Access
Sensitive clinical data are shared under managed access to protect participant privacy while enabling verification.
Available On Request
Data can be shared upon reasonable request when contractual or ethical constraints limit open release.
Included In Article
Data are fully contained within the paper and supplementary files with clear documentation.
Need Help With Data Permissions
If you are unsure about repository options, consent language, or data access limitations, contact the editorial office before submission. Early clarification helps avoid delays during peer review and production.
Data sharing should never compromise patient privacy. When restrictions apply, transparent statements are essential.
Clear documentation of variables and code improves reuse and citation.
Include repository DOIs when available.
Repository links should be stable.
Need Guidance From Our Editorial Team
We are happy to clarify policies, submission routes, and editorial requirements.
[email protected]Prepare A Data Ready Submission
Include a data availability statement and share your methods transparently for faster review.
