Journal of Sports and Exercise Medicine

Journal of Sports and Exercise Medicine

Journal of Sports and Exercise Medicine – Data Archiving Permissions

Open Access & Peer-Reviewed

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JSEM Open Data

Data Archiving Permissions

JSEM supports open science through responsible data archiving. Authors are encouraged to deposit datasets, protocols, and supplementary materials in trusted repositories to improve transparency and reproducibility.

40% Publication Benefit
3 Research Vouchers
Rapid Peer Review

Policy Overview

Data archiving is essential for sports medicine. JSEM permits deposition in disciplinary, institutional, or general repositories and requires a clear data availability statement for every submission. For sensitive athlete or patient data, controlled access options should be described.

Recommended Repositories

Zenodo

General repository with DOI support.

OSF

Open Science Framework projects.

Figshare

Data, figures, and datasets.

Institutional

University and clinic repositories.

Data Availability Statements

Include a data availability statement that identifies the repository, access URL, and license terms. Provide persistent identifiers such as DOIs and describe any access restrictions. For athlete data, document de identification procedures and access conditions.

Special Considerations

Sensitive Data

Use controlled access repositories for participant data and describe consent limitations.

Document the review process for data requests.

File Formats

Use reusable formats such as CSV, TXT, or standard biomechanics data exports.

Include codebooks and data dictionaries for clarity.

Data Citation

Cite datasets in the reference list with DOIs and version details. This supports attribution, reuse, and data level impact tracking.

Privacy and Ethics

For sensitive participant data, use de identified datasets and controlled access repositories. Document consent limitations and access conditions.

Repository Checklist

Select repositories that provide persistent identifiers, support updates, and allow clear metadata. Consistent naming improves long term usability.

Documentation

Include a README file and a data dictionary that explains variables, measurement units, and scoring methods. Clear documentation improves reproducibility.

Embargoes

Temporary embargoes may be permitted when justified by ongoing studies or privacy concerns. Specify the embargo duration and release conditions in the data statement.

Quality Checks

Perform basic validation before archiving, including variable range checks and file integrity verification. Document any transformations to support secondary analysis.

Access Documentation

Provide contact details and expected response times for data access requests. If access requires approval, describe the review process and any required agreements.

Data Management Plans

If your study includes a data management plan, summarize how data were stored, cleaned, and documented. Clear planning improves long term reuse.

Embargo Policies

Temporary embargoes may be permitted when justified by ongoing studies or privacy concerns. Specify embargo duration and release conditions in the data statement.

Data Citation Examples

Use formal data citations with authors, title, repository, year, version, and DOI. Consistent citations improve attribution and reuse tracking.

Access Agreements

For controlled access datasets, describe data use agreements and approval requirements. Clear access steps reduce reviewer queries and support responsible sharing.

De Identification and Consent

Remove direct identifiers and limit indirect identifiers when athlete or patient data are sensitive. Document consent limitations and describe how data access is controlled. Clear privacy protections support ethical sharing and reviewer confidence.

If full sharing is not possible, provide a clear pathway for qualified access requests.

Repository Selection and Metadata

Select repositories that offer persistent identifiers, versioning, and clear licensing options. Provide metadata that includes study context, instruments, and variable definitions. Strong metadata improves discoverability and long term usability of sports medicine datasets.

File Naming

Use consistent file names and include a README to describe variables and units. This improves reuse and interpretation.

Versioning

Document dataset versions and update logs if data are revised. Version clarity supports accurate citation.

Reuse License

Apply an appropriate data license that aligns with consent limitations and institutional policies.

Archiving Timing

Deposit datasets before acceptance when possible and include accession numbers in the manuscript. Early archiving speeds editorial checks.

Licensing Notes

Apply data licenses that align with consent and institutional policy. Clear licensing supports responsible reuse and citation.

Reuse and Preservation

Choose repositories with long term preservation policies and stable identifiers. Provide metadata that explains study context, instruments, and variable definitions so secondary users can interpret data correctly. Strong preservation practices support ongoing citation and clinical translation.

If datasets are updated, document version changes and keep previous versions accessible for reproducibility.

File Formats

Use open, reusable formats such as CSV or TXT for tabular data.

Need help with data archiving?

The editorial office can advise on repository selection and data statements.