JANOLI International Journal of Data Science (JIJDS) is a globally recognized, peer-reviewed publication dedicated to advancing the field of data science and its multidisciplinary applications. The journal provides a platform for researchers, academicians, industry professionals, and students to share innovative research, methodologies, and practical insights into data-driven solutions.

The journal bridges the gap between theoretical research and real-world applications by encouraging contributions that address practical challenges and propose scalable, efficient, and innovative solutions. It publishes research articles, review papers, case studies, and technical reports covering machine learning, deep learning, big data analytics, natural language processing, predictive modeling, and data visualization.

A rigorous peer-review process ensures the integrity and credibility of published content. The editorial board consists of experienced scholars and industry experts who provide constructive feedback to authors, supporting impactful research dissemination.

JANOLI International Journal of Data Science (JIJDS) follows an open-access model, ensuring global accessibility and promoting inclusivity and innovation.

Researchers and practitioners are invited to contribute and become part of a global community shaping the future of data science.