Reviewer Guidelines
Guidance for reviewers assessing diabetes bioinformatics manuscripts.
Journal at a Glance
ISSN: 2374-9431
DOI Prefix: 10.14302/issn.2374-9431
License: CC BY 4.0
Peer reviewed open access journal
Scope Alignment
Bioinformatics, computational genomics, multi-omics integration, systems biology, clinical informatics, and data driven insights for diabetes and metabolic disease. We prioritize reproducible analytics.
Publishing Model
Open access, single blind peer review, and rapid publication after acceptance and production checks. Metadata validation and DOI registration are included.
JBD reviewers evaluate methodological rigor, data transparency, and clinical relevance in diabetes bioinformatics submissions. Reviews should be constructive, evidence based, and focused on improving the manuscript.
- Clear research question and scope alignment
- Transparent data provenance and preprocessing
- Appropriate computational methods and validation
- Interpretation aligned with diabetes outcomes
- Reproducibility and data sharing considerations
Assess Scope
Confirm alignment with bioinformatics and diabetes focus.
Evaluate Methods
Check computational rigor and validation.
Review Results
Assess clarity, significance, and limitations.
Provide Feedback
Offer actionable, respectful guidance.
- Maintain confidentiality of manuscripts
- Declare conflicts of interest
- Report ethical or data integrity concerns
- Avoid using unpublished data for personal gain
How long should a review take?
Most reviews are expected within 2 to 3 weeks.
Can I decline a review?
Yes. Inform the editor promptly so alternatives can be found.
What if data are missing?
Recommend revisions or request clarifications.
- Evaluate whether datasets are appropriate for the research question.
- Check that preprocessing steps are described with enough detail.
- Assess whether model validation uses independent or held out data.
- Review clinical relevance and avoid overstated conclusions.
- Recommend clarifications for diabetes phenotype definitions.
- Verify that statistical tests and metrics are appropriate.
- Note missing citations or key prior work.
- Check that code availability is clear or explained.
- Assess data privacy and ethical compliance statements.
- Ensure figures and tables are interpretable and labeled.
- Flag potential data leakage or overfitting issues.
- Suggest additional analyses or sensitivity checks when needed.
- Evaluate reproducibility based on documentation provided.
- Comment on the clarity of computational workflow descriptions.
- Encourage clear reporting of cohort demographics.
- Check whether limitations are acknowledged and reasonable.
- Confirm that novelty is well supported by the evidence.
- Provide balanced feedback with strengths and actionable improvements.
- Check whether cohort sizes are adequate for the analysis performed.
JBD is committed to rigorous, transparent publishing in bioinformatics and diabetes research. We emphasize reproducible computational methods, clear data provenance, and ethical compliance across all article types.
The editorial office supports authors, editors, and reviewers with clear guidance and responsive communication. For questions about scope or workflow, contact [email protected].
We encourage continuous improvement in reporting practices and share updates that help the community maintain high standards in computational and translational diabetes research.
Become a Reviewer
Support rigorous diabetes bioinformatics research through peer review.