Data Modeling is an international, open access, peer-reviewed journal dedicated to the publication of high-quality research in mathematical, computational, and data-driven modeling across diverse scientific domains. The journal publishes original research articles, reviews, methodological studies, hypotheses, and short communications that advance theoretical understanding and practical applications of modeling techniques.

The journal welcomes contributions that address the development, analysis, and application of mathematical and computational models in complex systems. Submissions may include both theoretical and applied studies, spanning biological, biomedical, physical, environmental, engineering, and data science disciplines.

Areas of interest include, but are not limited to:

• Mathematical modeling and applied mathematics
• Computational modeling and simulation
• Data science, machine learning, and statistical modeling
• Bioinformatics and computational biology
• Computational genomics and systems biology
• Molecular modeling and biomolecular structure prediction
• Computational biochemistry and biophysics
• Multiscale and systems-level modeling
• Numerical methods and optimization
• Network modeling and complex systems analysis
• Modeling in engineering, environmental sciences, and health sciences

The journal considers studies employing analytical methods, numerical simulations, data integration, and hybrid modeling approaches that combine mathematical theory with computational techniques.

Peer Review and Publication Process

Data Modeling follows a rigorous, impartial, and timely peer-review process. All submissions undergo double-blind peer review by qualified experts from an international editorial and reviewer network. Manuscripts are evaluated based on scientific quality, methodological rigor, clarity of presentation, and contribution to the field.

Submitted manuscripts must be original and must not have been previously published or under consideration elsewhere.

Manuscript Evaluation Criteria

Manuscripts are assessed based on the following:

• Contribution to scientific knowledge or methodological advancement
• Relevance and adequacy of literature review
• Soundness, reproducibility, and transparency of methodology
• Validity and clarity of results and conclusions
• Overall quality of writing and presentation in English

Publication Model

The journal operates under a continuous publication model. All accepted articles are published online immediately upon acceptance and are freely accessible to readers worldwide. The open access policy permits users to read, download, copy, distribute, and share published content, ensuring broad dissemination and visibility.

Scope of Applications

The journal publishes research relevant to both fundamental and applied studies, including but not limited to biological systems, chemical modeling, clinical and pre-clinical research, and interdisciplinary modeling frameworks.

Publisher and Journal Information

Publisher: EMAN Research
Journal Type: Open Access, Peer-Reviewed
Publication Frequency: Continuous

ISSN:
Print: XXXX
Online: XXXX

Indexing and Visibility

The journal is indexed in:

• CrossRef
• Publons
• Google Scholar
• ResearchGate
• CiteFactor

The journal is under evaluation for inclusion in additional indexing databases.

Editorial Structure

The journal is managed by an international editorial team, including:

• Editor-in-Chief
• Executive Editor
• Assistant Editors
• Section Editors
• Production Editors