Data Sharing Policy

Liver Research – Open Journal (LROJ) encourages authors to share the underlying data supporting their published research, in line with the broader scientific community's movement toward transparency and reproducibility in research.

Data Availability Statement

Authors are encouraged to include a Data Availability Statement in their manuscript, indicating where the data supporting their findings can be accessed. This may include deposition in a recognized public repository, availability upon reasonable request to the corresponding author, or a clear explanation of any restrictions on data sharing (such as patient privacy or proprietary constraints) where full sharing is not possible.

Recommended Repositories

Where appropriate to the type of data generated, authors are encouraged to deposit datasets in an established, discipline-appropriate public repository — such as Figshare, Zenodo, or Dryad for general research data, or GEO for gene expression data relevant to hepatology and molecular liver research — rather than relying solely on supplementary files.

Patient Privacy

Where research involves human participant data, authors must ensure that any shared data has been appropriately de-identified in accordance with applicable data protection regulations and institutional requirements, and that data sharing does not violate the terms of the original informed consent obtained from participants.

Reproducibility

Authors are encouraged to provide sufficient detail regarding their methodology, materials, and analytical approach to allow other researchers to understand, evaluate, and where appropriate, reproduce the reported findings.

Code and Software

Where a study involves the use of custom code, scripts, or software for data analysis, authors are encouraged to make this available through a recognized code repository such as GitHub or Zenodo, and to cite the repository within the manuscript.

Exceptions

The journal recognizes that not all data can be shared openly due to legitimate ethical, legal, or proprietary constraints. Authors unable to share underlying data should clearly state the reason within their Data Availability Statement.