International Journal of Research on Data Science

Aims and Scope

International Journal of Research on Data Science a highly creative and modern, open access peer-reviewed journal, provides a unique platform for world-class research exploring the challenges and opportunities in collecting, analyzing, and disseminating massive amounts of data.
The IJRDS addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, academics, professionals, data scientists, business managers, analysts, developers, physicists, administrators, statisticians and policymakers to improve operations, prosperity, and interactions within their institutions and businesses. Spanning a broad array of disciplines focusing on novel data science technologies, policies, innovations and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, social networks, education, applied mathematics, medicine, computational biology, healthcare, finance, business, government, telecommunications and transportation, the Journal provides a vehicle for disseminating the latest research in data science and applications.

The topics related to this journal include but are not limited to:

  • Data science models, algorithms, technologies, techniques, tools
  • Search, data mining tools and techniques; sharing, and analytics
  • Data visualization
  • Machine learning algorithms for data science
  • Scalable storage systems and data science management
  • Data capture and storage
  • Distributed file systems and databases
  • Architectures for massively parallel processing
  • Cloud computing platforms

Guidelines for preparing your manuscript can be found in the Manuscript Preparation Guidelines. Once your manuscript is ready, you may proceed to the Submission page to complete the process.