All submissions require a data availability statement describing where data are stored, how they can be accessed, or why access is restricted.

• Public repositories with persistent identifiers
• Controlled access repositories for sensitive clinical data
• Data available from the corresponding author on reasonable request
• Data included within the article or supplementary files

Statements should specify access conditions, embargo periods, and any data use agreements.

Select repositories that provide stable access, metadata quality, and clear reuse terms.

Remove personal identifiers and confirm consent for data sharing. Sensitive datasets should use controlled access with clear governance.

If embargo periods apply, state the timeline and access conditions in the data availability statement.

Survivorship studies often include mixed data types such as clinical assessments, patient reported outcomes, imaging summaries, and qualitative interviews.

Organize files with clear naming conventions and consistent units to support reuse.

Provide a data dictionary that defines variables, coding, and missing value conventions. Include readme files that describe file structure and software requirements.

Use open and non proprietary formats when possible, such as CSV for tables and TXT or PDF for documentation.

Define access levels clearly, including open, controlled, and restricted access.

For sensitive datasets, describe application processes and oversight that protect participant privacy.

Cite datasets in the reference list using persistent identifiers, repository names, and version details.

Clear data citation supports attribution and encourages responsible reuse.

For sensitive clinical or community data, document anonymization steps and ethical approvals for sharing.

Controlled access repositories should include governance procedures to protect participants.

When data are sensitive or linked to ongoing clinical programs, authors may request embargo periods. Provide a clear end date and rationale.

For controlled access datasets, describe the application process, review timeline, and data use agreements.

• Data availability statement with repository links
• De identification and consent confirmation
• Data dictionary and readme documentation
• Code and workflow files with version details
• Access conditions and contact details if restricted

Clear reuse guidance supports responsible secondary analysis and attribution.

Maintain archived datasets for long term access and document any version updates.

Preservation practices support replication studies and long term evaluation of survivorship care.

If data are available upon request, provide a clear contact method and expected response timeline.

Requests should be evaluated consistently and without unreasonable barriers.

For controlled access datasets, describe review criteria and expected timelines for approval.

Clear governance supports participant privacy and responsible reuse.

Consistent review processes build trust with data contributors.

Transparency helps reviewers evaluate compliance quickly.

Responsible data sharing supports secondary analyses, meta studies, and improved care guidelines.

Clear documentation increases trust and strengthens the impact of survivorship evidence.

Shared datasets can inform future survivorship trials and programs.

Reusable data strengthen evidence synthesis efforts.

Clear files speed review.

Consistent data practices improve the credibility of survivorship evidence and support future guideline updates.