What is the Journal of Data Science website (jds-online.org)?

Updated

jds-online.org is the online home of the Journal of Data Science, an academic journal publishing articles on statistics and data science. You can use the site to browse current and past issues, read featured articles, find guidance for submitting your own work, and check calls for papers on special issues. It is a journal site rather than a general statistics learning resource, so it is most useful if you want to read or publish peer-reviewed research.

What you can find on the site

The site is organized around a few clear areas:

  • Journal home – the landing page, with featured articles and news.
  • To appear / Current issue / All issues – the article archive, including forthcoming papers and back issues.
  • Submit your article – entry point for contributors.
  • Information – journal background and policies.
  • About and Contact us – journal identity and contact details.

Featured articles listed on the home page include:

Article Authors Published online
Causal Inference: A Tale of Three Frameworks Linbo Wang, Thomas S. Richardson, James M. Robins 11 Feb 2026
The Typicality Principle and Its Implications for Statistics and Data Science Yiran Jiang, Zeyu Zhang, Ryan Martin, et al. 26 Jan 2026
AI for Science: Opportunities, Challenges, and Future Directions Valerie Fu 2 Jan 2026
Reinforcement Learning: A Statistical Perspective Ying Zhou 10 Dec 2025
Data Science Principles for Interpretable and Explainable AI Kris Sankaran 18 Sep 2024

Each article links to a DOI (for example, https://doi.org/10.6339/25-JDS1211), which is the stable citation link you would use in references.

Reading articles

If you want to read a paper, start from Current issue or All issues, or use the featured list on the home page. Each entry gives the title, authors, DOI, and publication date, which is enough to locate and cite the article. The site also shows a Most read section; one example listed there is "MatLab vs. Python vs. R" by Ceyhun Ozgur, Taylor Colliau, Grace Rogers, and others.

Submitting your work

The site has a Submit your article link and a For contributors section. It also posts calls for special issues, which are time-bound opportunities to submit to a themed collection. Recent calls shown on the site include:

  • Data Cleaning, Curation, and Integration – extended deadline 28 February 2026.
  • Statistical Aspects of Trustworthy Machine Learning – extended deadline 31 December 2024.
  • Statistical Frontiers of Data Science – deadline 30 September 2024.
  • 2024 WNAR/IMS/Graybill Annual Meeting special issue – deadline 1 July 2024.

Before submitting, check the specific call page for scope and deadline, since the deadlines above are the ones stated on the site and may already have passed.

Practical notes

  • The site has Login and Register options, so some functions may require an account; the available material does not state whether reading articles is restricted, so treat access terms as something to confirm on the article page itself.
  • No pricing information is given on the site, so do not assume the journal is free to read or free to publish based on this page alone.
  • For citation, use the DOI rather than the page URL, as DOIs are the persistent identifiers the journal provides.

In short: use jds-online.org to read statistics and data science papers, follow special-issue calls, and find the journal's submission and contact information.