About This Journal
Discover the scope and mission of this publication
Journal of Data Sciences (JDS) is an international, peer-reviewed, open-access scholarly journal committed to advancing knowledge, innovation, and practical applications in the rapidly evolving field of Data Science. The journal serves as a global platform for researchers, academics, industry professionals, policymakers, and technology innovators to disseminate high-quality research that leverages data for scientific, industrial, social, and economic progress.
In today's data-driven world, organizations generate and process unprecedented volumes of information. Transforming this data into actionable intelligence requires advanced analytical methods, computational techniques, and responsible data practices. JDS publishes impactful research that contributes to the development of
The journal welcomes interdisciplinary contributions that bridge statistics, computer science, artificial intelligence, machine learning, business analytics, engineering, healthcare, environmental sciences, and other data-intensive domains. By promoting scientific rigor, technological innovation, and ethical data usage, JDS aims to foster the advancement of data-driven solutions for real-world challenges.
All published articles are freely accessible under the Creative Commons Attribution (CC BY 4.0) License, ensuring global dissemination and unrestricted access to scientific knowledge.
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