About the Premier Journal of Data Science (PJDS)
The Premier Journal of Data Science (PJDS) is a leading data science journal committed to advancing the field through open-access, peer-reviewed, quarterly publications. As a publication of the Premier Science Journal, PJDS promotes interdisciplinary innovation in data science, uniting diverse perspectives to tackle modern challenges in big data, analytics, and beyond.
Publication frequency: quarterly
Indexing: Google Scholar, Ulrichsweb and others
Archived: British Library and Portico
ISSN: 2978-0047
Editor-in-Chief
Nishith Reddy Mannuru BTech, MS, PhD(c) 
Machine Learning Engineer
University of North Texas
Texas
USA
NishithReddyMannuru@my.unt.edu
- Why Publish in Premier Science
- Editorial Board
- How to submit a paper
- How to get your paper published
- Instructions for authors
- Peer-review Process
- Editorial Policies
- Open access policy
- Article transfer policy
- Information for reviewers
- FAQs
PJDS Aims and Scope
As a leading journal of data science, PJDS seeks to advance global research and education in data science through collaboration and knowledge-sharing. It fosters debate and cooperation through rigorously peer-reviewed publications, including:
- Data Analytics
- Data Engineering
- Data Mining and Statistical Analysis
- Database Management and Architecture
- Artificial Intelligence
- Machine Learning
- Managerial Data Science
PJDS delivers timely, curated publications designed to resonate with the data science community, prioritising practical applications and open access.
Premier Journal of Data Science Articles
The articles of the Premier Journal of Data Science present innovative studies within the field, from big data analytics to ethical applications. Explore our recent publications in this esteemed journal or contribute your research via the eWorkFlow portal, where you can join our community.
Article types – research, reviews, editorials/perspectives and correspondence-style articles will be considered.
Archive
Volume 3 – April – June 2025
Volume 2 – January – March 2025
Volume 1 – October – December 2024
FAQs
Volume 3 – April – June 2025
Global Surveillance Systems for Emerging Infectious Diseases: A Critical Review of Infrastructure, Policy, and Data Sharing
Riaz Ahmed
Department of Medical Sciences, Military College of Signals NUST, Islamabad, Pakistan
Premier Journal of Data Science 2025;3:100004
Volume 2 – January – March 2025
Blockchain Integration in Modern Cloud Computing: A Comprehensive Survey of Security and Efficiency
Waqas Ahmed
Air University Islamabad, Islamabad, Pakistan
Premier Journal of Data Science 2025;2:100003
The Rise of Smart Cities: Technology’s Role in Urban Planning
Mary Christine Wheatley
Wheatley Research Consultancy, Bagley, MN, USA
Premier Journal of Data Science 2024;1:100002
Volume 1 – October-December 2024
Review Articles
Ethics of Surveillance Technologies: Balancing Privacy and Security in a Digital Age.
Mary Christine Wheatley
Wheatley Research Consultancy, Bagley, Minnesota, USA
Premier Journal of Data Science 2024;1:100001
Premier Journal of Data Science FAQs
What types of data science research are suitable for PJDS?
Original research, reviews, and technical notes are all accepted by PJDS, including those in areas like data analytics, statistical analysis, and machine learning. As a top data science journal, PJDS values interdisciplinary work highly, such as data-driven policy analysis or predictive modelling for smart cities.
Can I share open-source data pipelines or scripts with my PJDS article?
As an open-access journal of data science, PJDS encourages the sharing of open-source data pipelines, scripts, or tools to boost reproducibility. These can be submitted via the eWorkFlow portal, enriching the global data science community. We also accept data visualisation standards or templates as supplemental materials.
