Data Archiving Permissions
IJCY supports responsible data archiving that improves reproducibility and increases confidence in cytokine research outcomes.
Authors retain ownership of data while enabling appropriate access for verification, reuse, and future discovery.
Why Researchers Trust Us
Fast Publication
Average 4 weeks to first decision, 3 weeks to publication after acceptance
Expert Review
35+ editorial board members specializing in cytokine biology and immunology
Global Reach
Research disseminated to immunology professionals in 45+ countries immediately
Rigorous Standards
Double-blind peer review ensuring highest scientific quality and reproducibility
Journal at a Glance
International Journal of Cytokine publishes research that advances understanding of immune signaling, inflammation, and translational immunology. The journal emphasizes rigorous methodology, clear reporting, and clinical relevance to support evidence based care.
Our publishing model combines rapid editorial triage with expert peer review so that cytokine research can move from discovery to application efficiently.
- Peer reviewed open access journal focused on cytokine science.
- Double blind peer review and structured editorial decisions.
- DOI assignment and metadata delivery for discoverability.
- Global readership across immunology and clinical communities.
Quality and Transparency Commitment
Quality assurance is embedded throughout the IJCY workflow. Editorial screening, ethical checks, and reviewer guidance ensure that published results are credible, reproducible, and clinically meaningful.
Authors receive clear decision letters and detailed revision guidance, helping them improve manuscripts and communicate findings with precision.
- Structured reviewer criteria and decision templates.
- Integrity checks for originality and data clarity.
- Transparent timelines and consistent communication.
Why Data Archiving Matters
Cytokine research influences clinical and translational decisions, making data transparency critical. Archiving allows other researchers to validate findings and build on existing evidence.
IJCY encourages sharing de identified datasets, protocols, and analysis scripts whenever ethical and legal constraints allow.
What to Archive
Primary Data
De identified measurements, assay outputs, and experimental datasets supporting main findings.
Methods and Protocols
Detailed protocols, reagent descriptions, and calibration data.
Code and Analysis
Statistical scripts, bioinformatics workflows, and model outputs.
Supplementary Files
Data dictionaries, readme files, and variable definitions.
Permissions and Sensitive Data
When data include patient information or sensitive clinical details, authors should apply appropriate protections. Controlled access repositories or data use statements can balance transparency with privacy.
- Remove direct identifiers and follow institutional privacy policies.
- Document any restrictions in the data availability statement.
- Provide contact information for controlled access requests.
Repository Selection
Choose a repository that offers stable links, long term access, and clear licensing options. Institutional repositories are acceptable when they meet these requirements.
- Use non proprietary formats when possible.
- Include a readme describing file structure.
- Link dataset records to the article DOI.
Embargo and Access Levels
When immediate release is not possible, authors may apply an embargo period or controlled access with justification. This approach balances funder requirements with participant privacy and contractual obligations.
Clearly state the access level in the data availability statement so readers understand how to request or access data.
Short embargoes are preferred when possible to maximize research visibility.
Include a contact point for controlled access requests.
Data Availability Statement
Every submission should include a data availability statement that explains where data can be found and how it can be accessed. This statement is indexed with the article to support reuse.
- Public repository link or DOI.
- Embargo period if required by funders.
- Controlled access details for sensitive data.
Data Citation and Credit
Citing datasets improves credit for data sharing and helps other researchers track reuse. When repositories provide a DOI, include a formal data citation in the reference list.
Accurate citations also support long term discoverability.
- Use repository provided citation formats.
- Link datasets to the article DOI.
- Update citations if datasets are revised.
Quality Checks and Documentation
Well documented data improves transparency and reduces follow up questions. Provide clear variable definitions, units, and preprocessing details in a readme file.
Confirm that tables and figures in the manuscript align with archived datasets.
Benefits for Authors
Data sharing improves citation potential, supports collaboration, and strengthens confidence in results. It also helps authors meet funder and institutional requirements for open science.
Clear data archiving increases the likelihood that cytokine findings are reused in meta analyses and translational studies.
Well archived data also supports future grant applications and collaborative research projects.
This improves long term impact.
Data Archiving Support
Data Availability Guidance
Contact the editorial office for help with data archiving statements and repository selection.
[email protected]
