Data Availability Requirements
All submissions must include a Data Availability Statement describing where underlying data can be accessed and any restrictions that apply. Statements should be specific enough for readers to understand the access process.
Acceptable options include public repository deposit, controlled access repositories, availability upon reasonable request, or restricted availability due to consent or legal limitations.
Authors are encouraged to share code, protocols, and analysis scripts when possible. Clear documentation improves reproducibility and supports reanalysis by other investigators.
When data are sensitive, consider sharing de identified or aggregated datasets that preserve privacy while still supporting validation of results.
Where possible, assign DOIs to datasets so they can be cited and tracked alongside the article.
Include repository access instructions and any data use agreements in the availability statement.
If embargoes apply, specify the timeline and rationale. Data statements should clarify licensing terms and any restrictions on reuse.
For proprietary datasets, describe the rationale for restrictions and provide a clear process for qualified researchers to request access under appropriate agreements.
Data availability statements should align with funder requirements and institutional policies when applicable.
When controlled access is required, provide the name of the repository, access criteria, and expected response timelines for requests.
Public Repositories
For non sensitive datasets, deposit in established repositories such as Dryad, Figshare, Zenodo, or relevant domain databases. These provide DOIs, version control, and preservation.
Controlled Access
Sensitive data should be placed in managed repositories with access review processes that protect participants while enabling qualified research use.
Available Upon Request
When deposit is not feasible, authors may provide data to qualified researchers upon reasonable request with clear conditions.
Restricted Data
If data cannot be shared, explain why and consider whether anonymized or aggregated data can be provided.
Self Archiving
Authors may share accepted and published versions in institutional repositories and on personal websites with proper citation.
Data Citation
Cite datasets in the reference list when possible to give credit and improve transparency.
