Data Availability Expectations

JVB encourages authors to deposit datasets in trusted repositories whenever possible. Data availability statements are required for all submissions.

If data cannot be shared due to privacy or legal restrictions, explain the limitations and provide access pathways for qualified researchers.

Statements should specify repository names, persistent identifiers, and access conditions. If data are restricted, describe the reason and provide contact details for access requests.

Data Citation

Cite datasets in the reference list using repository DOIs or accession numbers. Data citations improve transparency and credit.

Embargo and Access Controls

If immediate release is not possible, request a limited embargo and specify duration in the data statement.

Documentation

Provide readme files, codebooks, and clear variable descriptions to support reuse and replication.

Privacy and Consent

When data include participant information, remove identifiers and confirm consent for sharing. Provide controlled access routes for sensitive data.

Versioning

If datasets are updated after publication, describe version control and provide updated identifiers so readers can track changes.

Code and Scripts

Share analysis scripts when possible and archive a stable release with a DOI. This improves reproducibility and transparency.

Data Licensing

Select a data license that supports reuse while protecting attribution. Consistent licensing reduces ambiguity for downstream users.

Data Management Plans

Describe how data will be stored, preserved, and updated. Clear plans support funder compliance and long term access.

Statement Examples

Example: Data are available in OSF under DOI X. Example: Restricted data are available upon reasonable request with approval.

Repository Selection

Select repositories that align with your data type and community standards. Domain specific repositories improve visibility for verbal behavior researchers.

Quality Checks

Describe data validation, cleaning, and reliability checks. Transparent quality control helps reviewers assess dataset integrity.

Linking Data and Manuscript

Include dataset links in the manuscript and cite them properly. Consistent linking improves discoverability and reuse.

Restricted Data Requests

If data are restricted, provide a clear request pathway and criteria for access. This supports ethical sharing.

Embargo Rationale

Explain embargo reasons, such as ongoing analyses or participant privacy. State the expected release date when possible.

Data Reuse

Reusable datasets increase citation impact and support secondary analyses. Provide clear metadata to help other researchers interpret your data.

Audit Trails

Maintain records of data cleaning and transformation steps. Document decisions so reviewers can evaluate data integrity.

Data Formats

Use non proprietary formats when possible, such as CSV or TXT, to ensure long term access and reuse.

Data Availability Updates

If access conditions change after publication, notify the editorial office so the record can be updated.

Repository Metadata

Include keywords, participant characteristics, and intervention context in repository metadata. Rich metadata improves discovery and reuse.

Secure Storage

Store sensitive datasets in secure environments with access logs. Controlled access protects participants and supports ethical review.

Data Availability Review

Review your data statement before submission to ensure links are active and identifiers are correct. Broken links delay review.

Data Sharing Benefits

Sharing data increases transparency, enables replication, and can lead to secondary analyses that expand impact. Clear data statements also improve trust among clinicians and educators who apply findings. When data cannot be shared, provide a summary dataset or clear rationale. This helps reviewers evaluate accessibility without compromising privacy. Include contact details for access requests when needed in your data statement for reviewers.