Data Archiving & Permissions
Supporting Open Science and Research Reproducibility
Open Science Commitment: IJCV strongly encourages data sharing and transparency to advance coronavirus research reproducibility and accelerate scientific discovery.
COPE Core Practice #5: Data and Reproducibility
In line with COPE's Core Practice on Data and Reproducibility, IJCV requires authors to include a Data Availability Statement and encourages deposition of research data in recognized repositories. Concerns about data integrity, authorship, or reuse will be handled per the FORCE11-COPE data publishing ethics recommendations.
Data Sharing Policy
Data Availability Requirements
All research articles must include a Data Availability Statement specifying:
- Data Location: Where the data supporting the conclusions can be found
- Access Conditions: Any restrictions or requirements for data access
- Contact Information: Responsible party for data access requests
- Data Format: File formats and technical specifications
- Embargo Periods: Any time restrictions on data availability
Recommended Data Repositories
General Research Data
- Zenodo
- Figshare
- Dryad Digital Repository
- Mendeley Data
Genomic Data
- NCBI GenBank
- European Nucleotide Archive
- GISAID (for viral sequences)
- DNA Data Bank of Japan
Clinical Data
- ClinicalTrials.gov
- WHO ICTRP
- Vivli (clinical trial data)
- YODA Project
Data Types and Requirements
Research Data Categories
Experimental Data
- Raw laboratory measurements and observations
- Processed datasets with analysis parameters
- Statistical analysis code and scripts
- Methodology documentation and protocols
Clinical Data
- De-identified patient data (following privacy regulations)
- Clinical trial protocols and statistical analysis plans
- Diagnostic and treatment outcome measures
- Ethical approval documentation
Computational Data
- Source code for algorithms and models
- Input parameters and configuration files
- Output datasets and visualization files
- Software dependencies and version information
Privacy and Ethical Considerations
Human Subject Data Protection
Privacy First: All human subject data must be properly de-identified and comply with applicable privacy regulations including GDPR, HIPAA, and local data protection laws.
- De-identification: Remove all direct and indirect identifiers
- Consent Verification: Ensure data sharing is covered by informed consent
- Institutional Approval: Obtain IRB/ethics committee approval for data sharing
- Access Controls: Implement appropriate access restrictions when necessary
Sensitive Data Handling
For sensitive data that cannot be fully shared:
- Controlled Access: Use repositories with controlled access mechanisms
- Data Use Agreements: Require formal agreements for data access
- Synthetic Datasets: Provide synthetic data that preserves statistical properties
- Summary Statistics: Share aggregated data and summary statistics
- Contact Information: Provide clear contact for data access requests
Metadata and Documentation Standards
Required Metadata
- Dataset title and description
- Creator and contributor information
- Collection methodology
- Temporal and geographic coverage
- File formats and structure
- License and usage terms
Documentation Standards
- README files with clear descriptions
- Data dictionaries and codebooks
- Processing and analysis scripts
- Quality control procedures
- Known limitations and issues
- Version control information
Technical Specifications
- File formats and software requirements
- Hardware and system specifications
- Dependencies and libraries
- Installation and setup instructions
- Troubleshooting guidelines
- Contact information for support
Permissions and Licensing
Data Licensing Options
IJCV recommends the following open licenses for research data:
- CC0 (Public Domain): Maximum openness with no restrictions
- CC BY 4.0: Attribution required for reuse
- CC BY-SA 4.0: Attribution and share-alike requirements
- ODC-By: Open Data Commons Attribution License
- Custom Licenses: Specific terms for sensitive or proprietary data
Third-Party Data and Materials
When using third-party data or materials:
- Verify permissions for data sharing and reuse
- Provide proper attribution and citations
- Respect original licensing terms and conditions
- Document any restrictions on further distribution
- Obtain written permission when required
Long-term Preservation
Preservation Strategies
- Repository Selection: Choose repositories with long-term preservation commitments
- Format Standards: Use open, non-proprietary file formats when possible
- Redundant Storage: Ensure data is stored in multiple locations
- Migration Planning: Consider format migration strategies for obsolete formats
- Access Monitoring: Regular verification of data accessibility
- Succession Planning: Designate responsible parties for long-term stewardship
Support and Resources
IJCV provides support for data sharing and archiving:
Advancing Open Science Together
Support reproducible research and accelerate scientific discovery through responsible data sharing.
Contact: For inquiries, please email [email protected]
