Data Archiving Permissions for Reproducible Antibiotic Research
IJANR encourages responsible data sharing that supports reproducibility, stewardship decisions, and antimicrobial innovation. Authors may archive datasets, code, and protocols in trusted repositories, and must include clear data availability statements in the manuscript. When data cannot be shared publicly, provide a reasoned access pathway and contact information for requests and oversight as appropriate and timely when required by policy and ethics standards consistently and compliance.
Key Principles
- Transparency with responsible access
- Persistent repository links
- Clear data availability statements
- Ethical handling of sensitive data
- Reuse enabled through citation
Data Sharing Strengthens Antimicrobial Science
Reproducibility
Accessible data enables independent validation of resistance findings, susceptibility testing, and therapeutic claims.
Funder Compliance
Many funders require data sharing. IJANR supports compliance with clear availability statements and repository links.
Accelerated Discovery
Shared datasets allow researchers to build on prior work and develop new antimicrobial strategies faster.
Clinical Transparency
Clinical and surveillance studies benefit from open data practices that strengthen policy and stewardship decisions.
Credit and Citation
Data citation and repository DOIs ensure creators receive credit for curated datasets and code.
Long Term Preservation
Repositories provide stable preservation and access beyond the life of individual projects or grants.
Where to Deposit Data
Deposit data in reputable institutional, subject, or general repositories that provide persistent identifiers. Include accession numbers or repository links in the manuscript.
Data Availability Statements
All submissions must include a concise data availability statement describing where data and code can be accessed or why access is restricted.
Sensitive or Clinical Data
If patient privacy or legal constraints apply, provide de identified data when possible and describe controlled access procedures for qualified researchers.
Code and Software
Analytical code and scripts should be archived alongside data or in trusted code repositories. Document dependencies and versions to support reproducibility.
File Formats and Metadata
Use standard, non proprietary file formats where possible. Provide metadata, variable definitions, and readme files to help others interpret the dataset.
Embargoes and Exceptions
Reasonable embargoes may be permitted when justified. Authors should explain embargo periods and provide a date when data will become available.
Minimum Data Expectations
Provide the datasets required to verify primary results, including raw measurements where feasible. Summaries should be supported by accessible underlying data.
Data Citation
Cite datasets in the reference list when possible. Repository DOIs help track reuse and ensure proper credit to data creators.
Repository Selection
Choose repositories that support long term preservation and provide public landing pages with clear usage terms.
Collaborative Datasets
For multi site studies, describe data governance and ownership. Ensure that all contributors agree on data sharing terms.
Quality Assurance
Check datasets for completeness and consistency before deposit. Include documentation so other researchers can interpret variables and methods accurately.
Version Control
When datasets evolve, provide versioning information and dates. Version control supports accurate interpretation of resistance data.
Linking Data and Articles
Ensure that the article references the dataset and the dataset links back to the published article. This improves citation tracking and reuse.
Controlled Access
For restricted data, describe the process for access requests and oversight, including any required approvals or data use agreements.
Surveillance Data
For surveillance studies, provide aggregated datasets and clear geographic metadata to support comparative analysis.
Code Documentation
Include readme files and dependency notes so analytical code can be executed by other researchers without ambiguity.
Data Reuse Statements
State reuse permissions and any licensing terms so other researchers understand how data can be applied.
Repository Citations
Include full repository citations in the reference list when a dataset has a DOI.
Long Term Access
Choose repositories with clear preservation policies to keep antimicrobial datasets accessible over time.
Access Requests
When data are controlled, explain how qualified researchers can request access and expected response timelines.
Responsible data sharing improves stewardship outcomes, accelerates antimicrobial discovery, and strengthens confidence in published results.
Questions About Data Archiving?
Contact [email protected] for guidance on data availability statements, repository selection, and compliance with funder requirements. We can review statements before submission and suggest improvements for clarity or compliance, including repository language and access notes, before acceptance decisions and publication.
