International Journal of Vasculitis - Data Archiving Permissions
Responsible data sharing that protects participants and strengthens science
Data Availability Requirements
International Journal of Vasculitis supports responsible data sharing for clinical, translational, and population health research.
Data sharing must protect participant privacy and comply with ethical, legal, and institutional requirements.
All submissions must include a Data Availability Statement describing where underlying data can be accessed and any restrictions that apply.
Acceptable options include public repositories, controlled access, availability upon reasonable request, or embargoed release with a clear timeline.
Where possible, assign DOIs to datasets so they can be cited and tracked alongside the article.
If data cannot be shared, explain why and consider providing aggregated or anonymized results to support verification.
Provide clear data access instructions to reduce delays for readers and reviewers.
Use controlled access repositories when privacy concerns limit open sharing.
Include codebooks and variable definitions to support secondary analysis.
State whether data are available immediately or after an embargo period.
Select repositories that provide persistent identifiers and long term access.
Provide clear criteria for data access requests and expected response timelines.
Include README files that explain file structure, variables, and software dependencies.
Document preprocessing steps so readers can reproduce analyses accurately.
Data citation improves recognition for shared resources and reuse tracking.
State whether data are available immediately or after publication embargoes.
For imaging data, include resolution and processing workflows where relevant.
Data availability statements should specify contact points and conditions for access when restrictions apply.
When data are not shareable, provide a clear rationale and describe how inquiries will be handled.
Use open formats such as CSV, TXT, or TIFF to improve long term usability.
Include versioning notes if datasets will be updated post publication.
Ensure deidentification procedures are documented for patient level data.
Where datasets are large, provide summaries and file inventories to guide download.
Sensitive data should include access committees and application requirements.
If code is used, specify software versions and dependencies.
Provide persistent identifiers for software repositories when code is shared.
Confirm that repository links are active and accessible at submission.
Data Integrity Notes
Repository Alignment
Use trusted clinical or immunology repositories to connect data to publications.
Embargo Management
Clarify release timelines and access terms for sensitive datasets.
Documentation
Provide metadata, codebooks, and analysis notes.
Preservation
Use repositories that commit to long term access and version control.
Study Type Expectations
Clinical and Outcomes Data
ClinicalShare de-identified datasets and documentation for clinical or observational studies.
- Provide de-identified data or access criteria
- Include data dictionaries and variable definitions
- State consent and privacy constraints
- Provide accession numbers or repository links
Imaging and Pathology Data
ImagingShare imaging or histopathology data with acquisition details and de-identification steps.
- Provide imaging files or access pathways
- Include acquisition and processing parameters
- Share scripts or workflows when possible
- Document de-identification and quality checks
Biomarker and Omics Data
BiomarkerShare biomarker datasets or omics outputs with clear annotations and access terms.
- Include assay protocols and platform details
- Provide normalization and QC methods
- Share code for analysis when possible
- Clarify licensing and reuse terms
Sensitive Data Handling
Use controlled access repositories when confidentiality or legal limits apply.
Reproducibility Support
Share code, protocols, and metadata to enable validation and reuse.
Archiving Workflow
Select Repository
Choose established repositories or institutional archives for data sharing.
Prepare Documentation
Include metadata, codebooks, and de-identification details.
Write Data Statement
Describe access conditions, licensing terms, and embargo timelines.
Data Archiving FAQs
Can I restrict sensitive data?
Yes. Use controlled access repositories and explain restrictions clearly.
Do I need a DOI for datasets?
Where possible, assign a DOI to support citation and tracking.
What if data cannot be shared?
Explain restrictions and consider sharing aggregated or anonymized data.
Submit Your Manuscript
Publish with transparent data policies and open access visibility.
Submit via ManuscriptZone Simple Manuscript SubmissionNeed help? Contact us at [email protected]
