JAC supports open, responsible data sharing for ADHD research. Authors should deposit data and code in trusted repositories when possible, with clear access instructions.

We recognize that clinical and educational datasets may require controlled access due to privacy protections or participant consent limits. Authors should document restrictions and access pathways.

Select repositories that align with your data type and privacy requirements. ADHD studies often include sensitive clinical, educational, or behavioral measures that require clear access agreements.

• Clinical data repositories with controlled access
• Behavioral and educational research repositories
• Neuroimaging or neuropsychological data repositories
• Secure institutional repositories with governed access
• Code repositories such as GitHub or GitLab with release tags

ADHD research often involves minors or protected health information. When full sharing is not possible, provide deidentified or summary datasets and clear instructions for requesting access.

Authors should document data governance, including custodians, access review procedures, and consent limitations.

Clinical or school based data may involve jurisdiction specific protections and institutional approvals. Describe the legal and governance frameworks that apply to your dataset, including IRB approvals and data use agreements.

If data access is limited to authorized users, provide clear instructions for requesting access and expected response timelines.

Availability statements should explain where data and code are hosted, how they can be accessed, and what restrictions apply. If data cannot be shared publicly, clarify the process for requesting access and the criteria for approval.

• Include repository links or accession numbers in the manuscript
• State licensing terms for data and code when applicable
• Provide documentation for custom scripts or pipelines
• Describe any access restrictions and approval requirements

Prepare a data management plan early, including file organization, metadata labeling, and privacy safeguards. Ensure that analytic code references the correct versions of datasets and includes clear instructions for reuse.

For mixed methods studies, note how qualitative data are handled, anonymized, and archived. Consistent documentation strengthens reproducibility and clinical relevance.

Choose repositories that provide stable identifiers and long term preservation policies. Persistent access ensures ADHD evidence remains available for follow up studies and replication efforts.

When possible, include documentation for data dictionaries and codebooks so secondary users can interpret variables correctly.

Preserved datasets support longitudinal outcomes analyses.

Use descriptive titles, keywords, and study dates when depositing data. Metadata that reflects population age range, assessment tools, and study setting improves discoverability for ADHD stakeholders.

Include version numbers for updated datasets.

Provide contact details for data access questions when possible.

JAC is committed to rigorous, transparent publishing in ADHD research and care. We emphasize reproducible study design, clear reporting of clinical and functional outcomes, and ethical compliance across all article types.

The editorial office supports authors, editors, and reviewers with clear guidance and responsive communication. For questions about scope or workflow, contact [email protected].

We encourage continuous improvement in reporting practices and share updates that help the community maintain high standards in neurodevelopmental science, clinical care, and educational practice.