Data Science
A Gold Open Access journal advancing FAIR data science research with strong emphasis on transparency, ethics, and practical impact.
About the Journal
Data-driven research, AI-enabled analytics, statistical methods, and computational science.
Scholarly Open publishes highly relevant and FAIR-aligned research across our journals. We focus on transparent processes, rapid dissemination, and strong author support.
Scope & Coverage
- •Machine learning and AI
- •Big data analytics
- •Statistical modeling
- •Data ethics and privacy
- •Visualization and interpretation
- •Computational science
- •Decision support systems
- •Reproducible data workflows
- •Open data, metadata, and scientific metrics
Journal Sections
Editorial Board
Our distinguished editorial board members are leading experts in their fields, overseeing our rigorous peer review and ensuring high publication standards.
Editor-in-Chief
Position open
Under formation
Associate Editors
Join Our Editorial Team
We are always looking for distinguished scholars to join our editorial board. If you are interested in contributing to the advancement of open access, we would love to hear from you.
Articles
Explore the latest high-impact peer-reviewed research articles published open-access in this journal.
Sample Articles
These article outlines are illustrative examples for our launch journals.
This article evaluates explainable AI models in decision support systems and their contribution to fairness and stakeholder trust.
We present data-driven modeling methods to support pandemic preparedness and public health planning with robust uncertainty quantification.
This study explores federated learning architectures for healthcare analytics that preserve patient privacy while supporting collaborative model development.
This paper presents the framework and initial outcomes of the Make Data Count initiative, establishing standard metrics for tracking data citations, views, and downloads across repositories.
Submit to Data Science
Please review our author guidelines and prepare your manuscript according to our submission requirements. We welcome original research, reviews, and methodological contributions that support FAIR scholarship.