About the Journal

The Journal of Data Science and Information System Technologies (JDSIST) is a peer-reviewed scholarly journal published by FRIE. JDSIST is scheduled to launch in 2026, providing a dedicated platform for research in data science, information systems, and related technologies. The journal invites original research articles, review papers, case studies, and technical notes focusing on data analytics, big data, database systems, data mining, data engineering, information system design, and applied information technologies. JDSIST encourages interdisciplinary work combining computer science, statistics, information systems engineering, and domain-specific applications (e.g., healthcare, finance, smart infrastructure, business systems). All submissions undergo a rigorous peer-review process to ensure scientific merit, methodological soundness, clarity, and relevance.

The journal welcomes submissions from academic researchers, industry professionals, and practitioners globally, promoting diverse perspectives and real-world relevance. JDSIST places a strong emphasis on practical applicability, scalable data solutions, and innovations that address real-world information-system challenges. The journal supports open knowledge sharing and aims to foster collaboration between data scientists, system engineers, and domain experts. Its mission is to contribute to the advancement of data-driven decision-making, robust information system technologies, and knowledge dissemination that accelerates technological progress worldwide.