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

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

• General data repositories such as Zenodo, Figshare, or Dryad
• Public health surveillance repositories with controlled access
• Genomic sequence repositories such as GenBank or GISAID
• Institutional or national surveillance portals when required
• Code repositories such as GitHub or GitLab with release tags

Patient identifiers must be removed and data should be de identified 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 data custodians, access review procedures, and consent limits.

• 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

• Dataset metadata complete and consistent
• Repository accession numbers included
• Code and pipelines documented
• Ethics approvals and permits referenced
• Access restrictions clearly stated

• State whether datasets are de identified and compliant with privacy regulations.
• Provide repository DOIs or accession numbers for deposited datasets.
• Describe metadata standards used to enable reuse and interoperability.
• Clarify whether genomic datasets include sequencing protocols.
• Report access controls for sensitive records and outbreak investigations.
• Include code repository links for analysis scripts or statistical models.
• List any embargo periods required by funders or collaborators.
• Explain data sharing exceptions and provide justification when data are restricted.
• Document governance for surveillance systems or registries.
• Provide data dictionaries or variable definitions for key outcomes.
• Describe data versioning and update procedures for surveillance dashboards.
• State how case data were validated and cleaned.
• Provide linkage between datasets and tables used in the manuscript.
• Describe data retention timelines and long term preservation plans.
• Confirm whether data use agreements are required for access.
• Document repository metadata such as schema or variable labels.
• Describe secure storage procedures for protected health information.
• State whether deidentified datasets are available for secondary analysis.
• Report validation rules applied to surveillance data fields.
• Clarify how duplicate records or repeat events were handled.
• Describe data encryption and secure transfer procedures.
• Provide a governance contact for data access requests.
• Specify file naming conventions and version control practices.
• Include data quality assurance protocols or audit logs.

IJIP is committed to rigorous, transparent publishing in infection prevention and control. We emphasize reproducible surveillance methods, clear reporting of case definitions, 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 infection prevention science and implementation.