International Journal of Data Science (IJDS)

The primary objective of the International Journal of Data Science (IJDS) is to provide a comprehensive platform for the dissemination and exchange of cutting-edge research, theories, and practical insights in the field of data science. Data Lifecycle Management: Encompassing data capture, storage, maintenance, and processing methodologies to ensure accuracy, relevance, and efficiency throughout the data lifecycle. Analytical Frameworks: Exploration of diverse analytical frameworks, including machine learning, statistical analysis, and predictive modeling, to derive meaningful insights from raw data. Technological Innovations: Highlighting advancements in data-centric technologies, such as cloud computing, data mining tools, and visualization techniques, for improved data management and analysis. Industry Applications: Encouraging research contributions that demonstrate the practical application of data science methodologies across various sectors, from business analytics to healthcare, finance, and beyond. Ethical Considerations: Addressing ethical implications, privacy concerns, and security measures inherent in handling large datasets and deploying data-driven solutions. Interdisciplinary Collaboration: Promoting interdisciplinary collaboration by welcoming contributions from computer science, mathematics, social sciences, and other related fields to foster a holistic understanding of data science. The International Journal of Data Science (IJDS) aims to facilitate a robust exchange of ideas and findings, advancing the field of data science and its applications while addressing the challenges and opportunities presented by the evolving data landscape.

International Journal of Data Science (IJDS) is :-

• International, Peer-Reviewed, Open Access, Refereed, Computer science, Data warehousing, System analysis, Data security, Mathematical optimization, Big data cloud computing, Informatics, information systems, and technology innovations, Data reporting, visualization, and intelligence strategies, Data Science , Online , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1544-1088, Established: 2024, Impact Factor: 2.00
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE