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

We recognize that public health datasets require controlled access due to privacy, consent, or regulatory constraints. Authors should document restrictions and access pathways.

Select repositories that align with your data type and privacy requirements. Immunization studies often use registry or surveillance datasets that require controlled access or data use agreements.

• Clinical or public health data repositories with controlled access
• Genomics repositories such as GEO, SRA, or EGA
• Immunization registry data archives where permitted
• Imaging repositories for clinical or laboratory data
• Code repositories such as GitHub or GitLab with release tags

Patient identifiers must be removed and data should be deidentified in line with applicable privacy regulations. When full sharing is not possible, provide deidentified summaries and clear instructions for requesting access.

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

Registry and surveillance data may involve jurisdiction specific restrictions. Describe the legal and governance frameworks that apply to your dataset, including approvals from public health authorities.

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 policy relevance.

Choose repositories that provide stable identifiers and long term preservation policies. Persistent access ensures immunization evidence remains available for future program evaluations.

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

Preserved datasets support longitudinal immunization analyses.

Use descriptive titles, keywords, and study dates when depositing data. Metadata that reflects vaccine type, population, and geography improves discoverability for immunization stakeholders.

Include version numbers for updated datasets.

Provide contact details for data access questions when possible.

JI is committed to rigorous, transparent publishing in immunization research and program evaluation. We emphasize reproducible methods, clear reporting of vaccine 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 vaccine science, safety monitoring, and public health impact.