Open Repository Deposit
De-identified datasets can be deposited in recognized repositories with accession links included in the manuscript.
Data Transparency and Reuse
Data Archiving Permissions
Data Archiving Permissions
Journal of Medical and Surgical Urology
Support reproducible urology science with transparent, ethical, and practical data archiving statements.
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Data Policy
Data Archiving Permissions and Reuse Standards
JMSU encourages responsible archiving so published findings can be verified, reanalyzed, and used in future urology research.
Journal of Medical and Surgical Urology supports data transparency while respecting ethical, legal, and privacy constraints in clinical and surgical datasets.
Authors should include a clear data availability statement describing where data are stored, how access is granted, and what restrictions apply.
When public release is not feasible, controlled access pathways should be documented with request process details and expected timelines.
Permitted Archiving Models
Options for Depositing Data and Materials
Different study designs may require different archiving pathways; the key requirement is transparent disclosure.
Controlled Access Repositories
Sensitive clinical datasets may be stored with governed access and documented application criteria.
Institutional Data Portals
University or hospital-managed repositories are acceptable when stable links and policy details are provided.
Supplementary Data Files
Selected non-sensitive tables and protocols may be provided as supplementary publication files.
Code and Analytical Scripts
Statistical scripts can be shared in repository environments with version notes and dependency details.
Metadata-Only Records
Where full release is restricted, metadata-level records should still indicate data existence and contact route.
Author Responsibilities
What Must Be Included in the Data Statement
Data statements should give readers practical, reproducible direction rather than generic availability language.
- Repository name, accession or persistent identifier, and stable access URL where available.
- Description of dataset scope and whether raw, processed, or aggregated data are provided.
- Access conditions including open, controlled, embargoed, or case-by-case review procedures.
- Any legal, ethical, or contractual restrictions that affect redistribution rights.
- Contact route for access requests when direct public release is not allowed.
- Version control information if data or code may be updated post-publication.
Authors should ensure data statements are aligned with local ethics approvals and patient consent language, especially for sensitive procedural and outcome data.
If data are available only under restricted conditions, explain the rationale transparently to maintain reader trust in study governance.
Compliance and Integrity
Why Archiving Quality Matters
High-quality archiving supports reproducibility, method validation, and responsible evidence reuse across the field.
Transparent archiving practices help reviewers and readers evaluate whether conclusions are robust and methodologically defensible.
Data access planning also reduces post-publication friction for institutions, evidence synthesis teams, and policy organizations.
When code and datasets are prepared early, manuscript revisions are typically smoother because analytical assumptions can be clarified quickly.
JMSU may request additional clarification if data statements are incomplete, inconsistent with ethics approvals, or unclear about access procedures.
Practical guidance: Plan data governance before submission, not after acceptance, to avoid policy-related delays in final publication.
Data statements should include repository path, access conditions, and file structure notes for practical reuse.
Controlled-access datasets need clear request pathways and expected review timelines for external researchers.
Versioning policy should be documented if archived datasets are updated post-publication.
De-identification strategy must balance participant privacy and analytical utility in shared files.
Code and software environment notes substantially improve reproducibility for secondary analyses.
Data statements should include repository path, access conditions, and file structure notes for practical reuse.
Controlled-access datasets need clear request pathways and expected review timelines for external researchers.
Versioning policy should be documented if archived datasets are updated post-publication.
De-identification strategy must balance participant privacy and analytical utility in shared files.
Code and software environment notes substantially improve reproducibility for secondary analyses.
Data statements should include repository path, access conditions, and file structure notes for practical reuse.
Controlled-access datasets need clear request pathways and expected review timelines for external researchers.
Versioning policy should be documented if archived datasets are updated post-publication.
De-identification strategy must balance participant privacy and analytical utility in shared files.
Code and software environment notes substantially improve reproducibility for secondary analyses.
Submit With a Strong Data Governance Statement
Choose your submission path and include clear archiving details to improve reviewer confidence and long-term research reuse.
Editorial office: [email protected]
