gabrielmoreira Reproducibility Checklist — Open Science Best Practices
Overview
Ensure research is reproducible, transparent, and meets open science standards.
Pre-Registration
- Study registered on ClinicalTrials.gov, OSF, or AsPredicted before data collection
- Primary outcome and analysis plan pre-specified
- Deviations from pre-registration documented and justified
Data Availability
- Raw data deposited in domain repository (GEO, PDB, PRIDE, Zenodo, Dryad, Figshare)
- Data dictionary/codebook provided
- Sensitive data: de-identification method documented, access controls described
- DOI assigned to dataset
Code Availability
- Analysis code in public repository (GitHub, GitLab, Zenodo)
- Environment specification (requirements.txt, conda env, Docker, renv.lock)
- Random seeds fixed and documented
- README with reproduction instructions
Materials
- Reagent catalog numbers, lot numbers, manufacturer
- Custom materials: synthesis protocol or request process
- Cell lines: STR authentication, mycoplasma testing
- Antibodies: RRID or Antibody Registry ID
Statistical Reporting
- All statistical tests, parameters, and software versions reported
- Effect sizes and confidence intervals (not just p-values)
- Multiple comparison correction method stated
- Sample size justification (power analysis)
Reporting Standards
- Applicable guideline followed (STROBE/CONSORT/PRISMA/ARRIVE/MIQE)
- Checklist completed and submitted with manuscript