What is the International Journal of Data Science?
Posted on 2025-01-24The International Journal of Data Science (IJoDS) is a peer-reviewed, open-access journal dedicated to publishing research that explores the diverse aspects of data science. By focusing on data collection, maintenance, processing, analysis, and communication, the journal provides a space for sharing valuable insights and advancing knowledge in this rapidly evolving field.
Understanding Data ScienceData science is a multidisciplinary field that combines technology, algorithms, and statistical methods to extract meaningful insights from data. It plays a critical role in addressing challenges and enabling decision-making in fields such as healthcare, finance, engineering, and education. The International Journal of Data Science supports this mission by publishing work that highlights innovative approaches to data-driven problem-solving.
Why Publish with the International Journal of Data Science?The journal aims to create a platform for researchers, professionals, and students to contribute to the growing body of knowledge in data science. By ensuring accessibility through an open-access model, we enable readers and authors to benefit from shared knowledge without barriers. Key features of the journal include:
- Peer Review: All submissions undergo a thorough double-blind peer-review process to ensure high-quality publication.
- Broad Scope: Articles published in the journal cover diverse topics, including machine learning, data visualization, big data analytics, and interdisciplinary applications.
- Open Access: All published work is freely available under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).
The journal is published under the auspices of the Indonesian Society for Knowledge and Human Development (INSIGHT), an organization dedicated to promoting education and research. Based at Padang State Polytechnic, Indonesia, INSIGHT works to ensure the journal reaches a diverse audience and supports its mission to make data science research accessible to all.
Contribute to IJoDSThe International Journal of Data Science welcomes submissions from researchers across disciplines. Whether you are exploring innovative methodologies, applying data science to solve challenges, or discussing ethical considerations, we encourage you to submit your work for consideration. Visit our Author Guidelines for more details.
The journal strives to promote collaboration, foster interdisciplinary discussions, and support the advancement of data science research. Join us in sharing ideas, solving problems, and shaping the future of this impactful field.