The International Journal of Data Science (IJoDS) is a peer-reviewed, open-access scholarly journal. Published by the Indonesian Society for Knowledge and Human Development (INSIGHT), IJoDS aims to be a premier platform for researchers, academics, and practitioners to share innovative ideas, methodologies, and applications that drive the field of data science forward. Our mission is to foster a global understanding and application of data science by ensuring unrestricted access to cutting-edge research.

Focus and Scope
IJoDS is dedicated to advancing data science by publishing high-quality, original research covering the entire data lifecycle—from capture and processing to analysis and communication. A key focus is on bridging theoretical foundations with practical, real-world applications.

The scope of the journal is broad and multidisciplinary, encompassing:

• Methodologies and Techniques: Including but not limited to machine learning, neural networks (including deep learning), data mining, predictive modeling, forecasting, optimization, statistical analysis, big data analytics, and Natural Language Processing (NLP).
• Application Domains: Key areas include healthcare and medicine, education, business and finance, environmental science, language technology, and social applications.
• Problems Addressed: We welcome studies addressing challenges in prediction, classification, data analysis, detection, optimization, pattern identification, and understanding the impact of data science across various sectors.

IJoDS encourages submissions that present novel algorithms, innovative applications, significant case studies, comparative analyses, and insightful systematic reviews.

Peer Review Process
IJoDS is committed to upholding the highest standards of scholarly review. All submitted manuscripts undergo a rigorous and fair double-blind peer review process. This means that the identities of both the authors and the reviewers are concealed from each other throughout the review to ensure impartiality and objectivity.

Publication Frequency
IJoDS is published biannually, with two issues per year.

Open Access Policy
IJoDS is a fully open-access journal. All articles are published under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license. Authors retain the copyright of their published articles. This open-access model ensures the maximum visibility and accessibility of research findings to a global audience without subscription barriers.

Article Processing Charges (APC)
To support our open-access publishing model, IJoDS charges an Article Processing Charge (APC) of USD 50 for manuscripts accepted for publication. There are no submission fees. The APC covers peer review management, editorial work, article production, online hosting, and long-term archiving. Further details can be found in our Author Fees policy.

Ethical Commitment
IJoDS is committed to the highest ethical standards in scholarly publishing, guided by internationally recognized best practices and principles from leading publication ethics organizations. Our comprehensive publication ethics policies are detailed on the journal's website.

Archiving and Indexing
IJoDS ensures the long-term preservation and accessibility of its published content. Articles are archived in Portico and are discoverable through the Keepers Registry. IJoDS collaborates with EBSCO Information Services to enhance the reach and visibility of its publications and continuously works towards inclusion in relevant academic databases and indexing services.

Publisher
The International Journal of Data Science is published by the Indonesian Society for Knowledge and Human Development (INSIGHT), an organization committed to promoting knowledge and human development through scholarly endeavors.

Call for Papers
IJoDS invites researchers, scholars, and practitioners to submit their original contributions. We aim to provide a responsive and constructive platform for the dissemination of impactful research in data science. Please refer to our Author Guidelines for detailed information on manuscript preparation and submission.

We also welcome readers from around the world to explore our freely accessible publications and engage with the latest advancements in the dynamic field of data science.