All research articles must include a Data Availability Statement describing how readers can access underlying data. Authors should deposit research data in appropriate public repositories and provide accession numbers. Where data cannot be publicly shared due to ethical, legal, or proprietary restrictions, authors must explain these limitations.

Sequence Data

Nucleotide and amino acid sequences must be deposited in GenBank, EMBL-EBI, or DDBJ prior to publication. Accession numbers must be provided in the manuscript. CRISPR guide RNA sequences should be included in full with targeting efficiency data.

Plasmid Constructs

Novel plasmid constructs should be deposited with Addgene or equivalent repositories to enable research reproducibility. Provide repository IDs in the methods section.

High-Throughput Data

RNA-seq, ChIP-seq, and other high-throughput datasets should be deposited in GEO, ArrayExpress, or equivalent repositories. Raw sequencing data should be submitted to SRA or ENA.

JGEs open-access model ensures authors retain significant rights for self-archiving. Authors may deposit the published version in institutional repositories and personal websites immediately upon publication with no embargo period. All self-archived versions must include proper attribution and link to the original publication.

JGE promotes comprehensive data sharing to support research reproducibility in genetic engineering. We expect authors to provide access to data underlying published findings unless ethical, legal, or proprietary restrictions apply. When restrictions exist, authors should explain limitations and describe conditions under which data may be requested.

For CRISPR and gene editing research, comprehensive disclosure includes guide RNA sequences, editing efficiency data, off-target analysis results, and validation experiments. Plasmid constructs should be made available through repositories enabling other researchers to build on published work. High-throughput sequencing data should be deposited in appropriate public repositories with accession numbers.

Human genetic data and clinical information require special consideration. Authors should consult institutional data governance offices regarding appropriate mechanisms for sharing sensitive data that balance accessibility with privacy protections. Controlled-access repositories may be appropriate for human genomic data.

Proprietary data from industry collaborations may have sharing restrictions. Authors should clearly describe any such limitations in the data availability statement and ensure that sufficient methodological detail is provided for independent replication where possible.

Selecting appropriate repositories depends on data type. Sequence data belongs in GenBank, EMBL, or DDBJ. Plasmid constructs should be deposited with Addgene. High-throughput data fits GEO or ArrayExpress. Structural data belongs in PDB. Analysis code goes to GitHub with Zenodo DOI. General datasets suit Figshare, Dryad, or institutional repositories.

When multiple repository options exist, consider your research community practices and funder requirements. Consult institutional data librarians for guidance on repository selection and data management best practices for genetic engineering research.

JGE supports data citation as distinct scholarly contributions. Authors should formally cite deposited datasets in the reference list using repository-provided citation formats. Proper data citation acknowledges data creators and enables usage tracking that benefits researchers documenting data sharing impact.

Data sharing advances genetic engineering through enabling verification, replication, and building upon published discoveries. JGE supports open science principles while respecting legitimate constraints on data availability. Authors should maximize transparency within applicable ethical, legal, and proprietary boundaries. The scholarly community benefits when underlying data is accessible for independent evaluation and further research.