Data & Software
Code repository publications archive analysis code, scripts, and computational workflows linked to research.
Code repository publications archive analysis code, scripts, and computational workflows linked to research.
When to select this type
Choose Code Repository when publishing analysis code as a standalone citable resource.
Typical audience
Researchers reproducing or extending analyses.
Recommended use cases
Purpose
Provide citable, versioned access to research code.
Scope
Script collections and analysis repositories supplementary to or independent of full software packages.
Typical structure
Required sections
Recommended sections
Figures
0–1 workflow diagram.
Tables
0–1 dependency table.
References
0–15 references.
Supplementary material
Environment files, Docker config, sample data.
Required metadata
Required declarations
Funding requirements
Declare if applicable.
Conflict of interest
Disclose commercial code interests.
Ethics requirements
Describe safeguards if code handles sensitive data.
Consent requirements
Not applicable unless sensitive data included.
Data availability
Code is the primary artifact; include sample data or access instructions.
AI disclosure
Disclose AI-generated code.
Copyright
Governed by repository license.
Licensing
License file required in repository.
Export formats supported
No specific reporting guideline is required, though field standards may still apply.
Typical journal expectations
README, license, dependencies, and tagged release.
Typical peer review process
Review of README, reproducibility, and license.
Journal compatibility notes
Code archive and reproducibility-focused venues.
Submission readiness checklist
Select Code Repository when your manuscript matches the scope, structure, and reporting expectations described on this page. If your work fits a different scholarly format, review similar publication types before submitting.
Contact the editorial team before payment if you need to change publication type. After editorial screening begins, type changes require editorial approval and may restart parts of the review process.
Reporting guidelines listed as recommended should be followed when applicable to your study design. Editorial reviewers assess completeness against the expectations for your selected publication type.
Platform standards for ethical research publication.
Transparent, ethical, and accountable AI use across research and publishing.
Transparency, independence, and responsible disclosure across research and publishing.