Data Archiving Permissions
JC supports transparent, reusable data that strengthens chromosome research.
Responsible Sharing And Long Term Preservation
JC encourages authors to archive datasets, protocols, and code that support published findings. Open data improves reproducibility, helps reviewers evaluate methods, and enables new analyses across chromosome biology. We recognize that some data require restrictions due to privacy, clinical sensitivity, or legal obligations, and we support responsible access controls when needed.
What You May Archive
Cytogenetic Images
Karyograms, FISH images, and microscopy datasets with clear metadata and captions.
Genomic Datasets
Sequencing reads, structural variation calls, and annotation tables with version details.
Code And Pipelines
Scripts, computational workflows, and analysis notebooks used to generate results.
Protocols
Laboratory methods, probe lists, or validation steps that support reproducibility.
Recommended Repositories
Choose a repository that provides persistent identifiers, versioning, and clear usage terms. Authors may use institutional repositories or recognized domain repositories such as GEO or SRA for genomic datasets. General repositories such as Zenodo, Figshare, or OSF are acceptable for code and supplementary material.
Repository metadata should remain public even when files are restricted. This ensures that readers can locate the dataset and request access when appropriate.
Data Availability Statements
Every manuscript must include a data availability statement. If data are publicly available, include the repository name and DOI or accession number. If data are restricted, explain the reason and describe how qualified researchers can request access.
Example: "Sequencing data are available in GEO under accession GSEXXXX. Controlled access data may be requested from the corresponding author with ethics approval."
Versioning And Embargoes
When datasets are updated, include version numbers and a brief description of changes. The published article should reference the specific version used for conclusions, while later versions can be linked for transparency. Clear versioning protects the integrity of the record.
If an embargo is required, state the duration and planned release date in the data availability statement. Metadata should remain public during embargo so the research record is transparent.
Imaging And Large Files
Chromosome research often generates large imaging files and annotated karyograms. Use repositories that accept high resolution images and preserve associated metadata. Include a readme describing imaging conditions, magnification, and analysis software so reviewers and readers can interpret the data correctly.
If file sizes exceed repository limits, provide a stable link to an institutional archive or contact the editorial office for guidance. Avoid compressing images in ways that reduce interpretability.
Maintain original resolution whenever possible for review and archiving safely.
Sensitive Or Restricted Data
When data involve human participants, indigenous knowledge, or proprietary material, follow applicable regulations and ethical guidelines. Anonymize data where possible and use controlled access repositories when required. JC will not request the release of information that compromises participant privacy.
Do not upload third party data without permission. If data are derived from restricted sources, provide a description and an access method rather than uploading restricted files.
Licensing And Data Citation
Select clear data licenses that enable reuse with proper attribution, such as CC BY or CC0 when appropriate. Ensure license terms are compatible with funder and institutional requirements.
Data should be cited in the reference list using the repository recommended format, including authors, year, dataset title, repository name, version, and DOI. Proper citation supports credit and compliance.
Linking Data To Your Article
Connect archived data to the published article by including persistent identifiers, repository links, and version numbers. This helps readers move from the article to the underlying materials and improves discoverability through indexing services.
Use consistent file naming and include readme files that describe variables, file formats, and analysis steps. Clear documentation reduces questions during peer review and supports future reuse.
Data Quality Checklist
Complete Metadata
Include sample details, methods, and instrument settings.
File Formats
Use standard formats for imaging and sequencing to ensure reuse and compatibility.
Validation Notes
Describe quality control steps and any exclusions or outliers.
Clear Access Terms
State whether data are open, restricted, or embargoed.
Following these practices improves reviewer confidence and strengthens the reliability of chromosome data for downstream analysis.
Need Help With Data Archiving?
Contact the editorial office for guidance on repository selection or data availability requirements.
