JBD provides reviewers with tools and guidance to support efficient, high quality reviews. Resources focus on evaluating computational methods, data transparency, and clinical relevance.

• Verify that model validation is described clearly
• Check that cohort definitions align with diabetes phenotypes
• Assess whether data and code access statements are complete
• Recommend clarifications for clinical interpretation

Reviewers can contact the editorial office for clarification on review criteria or conflicts. Email [email protected] for assistance.

• 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.
• Assess whether external validation claims are supported by evidence.
• Review calibration plots or error analyses when available.
• Recommend clearer reporting of preprocessing and feature engineering.
• Confirm that ethical approvals are described for clinical data use.
• Suggest improvements to data visualization clarity.

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.