Data Archiving Permissions
Responsible sharing that protects newborn privacy and supports reproducibility.
Transparent neonatal data, handled with care
IJNE encourages data sharing that strengthens neonatal science while respecting consent and privacy for vulnerable newborn populations.
Data availability statements and clear repository choices make findings easier to validate, reuse, and build upon.
De identified datasets
Share de identified clinical or laboratory datasets that support primary outcomes and key tables.
Analysis code
Provide scripts or software workflows used for statistics, figures, and sensitivity analyses.
Study protocols
Include protocols, case report forms, and intervention descriptions needed for replication.
Supplementary files
Archive extended tables, appendices, and multimedia items that expand the methods.
Data dictionaries
Provide variable definitions, units, and collection time points for neonatal cohorts.
Version history
Document dataset versions and analysis updates to support accurate reuse.
- Remove direct identifiers and mask dates or locations where necessary.
- Document parental consent requirements and any limits on reuse.
- Follow institutional review board or ethics committee guidance.
- Use controlled access repositories for sensitive or genomic data.
- Include a clear data availability statement in the manuscript.
- List a data access contact or committee if approvals are required.
- Confirm repository links are persistent and publicly accessible where permitted.
- Describe de identification steps for neonatal imaging or genomics data.
Discipline repositories
Use neonatal or perinatal repositories when available for stronger discoverability.
General repositories
Zenodo, Figshare, and Dryad are acceptable for broad access and DOI assignment.
Controlled access
Apply controlled access for data with privacy, legal, or consent limitations.
Metadata quality
Use consistent keywords, study identifiers, and funding details for indexing.
Licensing clarity
Select data licenses that align with institutional and funder policies.
Data dictionaries
Add variable definitions and collection time points for neonatal cohorts.
Neonatal datasets require additional care. Use aggregation, anonymization, and consent language to protect families while enabling scientific reuse.
If data cannot be shared, explain the reason and provide a pathway for qualified access requests.
For guidance on sensitive neonatal data or repository selection, contact [email protected].
These data stewardship considerations help avoid delays, support compliance, and keep neonatal manuscripts ready for rapid publication.
Plan approvals and documentation early so editorial checks can move smoothly and authors remain on schedule.
Clear coordination across teams reduces rework and strengthens trust in the final record.
Workflow clarity
Define roles, responsibilities, and expected response times for data stewardship tasks across all contributors.
Documentation readiness
Organize approvals, forms, and supporting files before final submission to avoid last minute delays.
Stakeholder alignment
Align coauthors, departments, and institutions on data stewardship decisions and approval pathways.
Timeline control
Build buffer time for reviews, approvals, and compliance checks tied to data stewardship.
Quality assurance
Confirm key elements are consistent across the manuscript, metadata, and supplementary files.
Communication cadence
Maintain clear updates with the editorial office and respond quickly to data stewardship requests.
Compliance tracking
Record required disclosures and policy statements to keep data stewardship documentation complete.
Version control
Keep a clear version history so revisions and data stewardship changes are traceable.
- Confirm the responsible contact for data stewardship coordination.
- Validate that required statements are included and up to date.
- Double check consistency between forms and manuscript text.
- Record timelines and key dates to avoid delays.
- Retain documentation for institutional or funder reporting.
- Keep a change log for data stewardship updates during revision.
- Review policy alignment before final submission.
- Ask questions early if any requirements are unclear.
A final set of data stewardship checkpoints helps keep the submission complete and compliant.
These steps reduce back and forth and improve editorial efficiency.
Consistency check
Align terminology, abbreviations, and labels across the manuscript.
Readability check
Confirm the narrative is clear for neonatal audiences and clinical teams.
Policy alignment
Verify data stewardship statements match journal policies and funder expectations.
Submission readiness
Confirm files, disclosures, and metadata are complete.
Quality review
Recheck figures, tables, and supplements for accuracy.
Timeline review
Confirm deadlines for approvals and final submission.
- Check contact details for accuracy.
- Ensure core statements appear in the correct section.
- Review timelines and expectations with coauthors.
- Verify that required supplements are included.
- Confirm that disclosures match funding records.
- Ensure submission files use clear names and versions.
Submit Your Neonatal Research
Share discoveries that improve outcomes for newborns and advance neonatal care worldwide.
