Data Archiving Permissions
Supporting open science through transparent data sharing and archiving policies.
Data Availability and Archiving
JGRC supports transparent, reproducible plant genetics research through clear data archiving and sharing policies that benefit authors and the scientific community.
The Journal of Plant Genetics and Crop Research encourages authors to make underlying research data available whenever possible. Open data practices accelerate scientific progress, enable verification of results, and maximize the value of research investments. We recognize that data sensitivity and practical constraints may sometimes limit full sharing.
Authors retain ownership of their research data. By publishing with JGRC, authors grant permission for:
- Long-term archiving of supplementary data files with the published article
- Distribution of data through our digital platform and preservation partners
- Linking to external data repositories in article metadata
- Inclusion of data availability statements describing access conditions
Copyright Retention: Authors maintain copyright over their datasets. JGRC's archiving permissions enable preservation and access without transferring data ownership.
Sequence Data
GenBank, EMBL-EBI, DDBJ for nucleotide sequences; SRA for raw sequencing data.
General Data
Dryad, Figshare, Zenodo for datasets, code, and supplementary materials.
Plant-Specific
GRIN, Phytozome, Gramene for germplasm and genomic resources.
Code/Software
GitHub, GitLab, Bitbucket with Zenodo integration for version archiving.
All research articles must include a data availability statement indicating how readers can access underlying data. Acceptable statements include:
- Public repository with accession numbers or DOIs
- Supplementary materials deposited with the article
- Available upon reasonable request with contact information
- Restricted access with justification (commercial, legal, or privacy reasons)
JGRC maintains digital preservation partnerships ensuring long-term accessibility of published content including supplementary data. We follow best practices for format migration and backup procedures to protect against data loss.
Research in plant genetics often generates specialized data types requiring appropriate handling:
- Sequence Data: Raw reads, assemblies, and annotations should be deposited in GenBank, EMBL, or DDBJ with accession numbers provided
- Genotyping Data: SNP arrays, marker scores, and population genetics data benefit from structured repository deposit
- Phenotype Records: Field trial observations, growth measurements, and trait scores should be documented with metadata
- Germplasm Information: Source institutions, accessions, and breeding history support reproducibility
For questions about data archiving policies, contact [email protected].
Submit Your Research
Share your plant genetics data with the global scientific community.
