How to Submit an Article to the Journal of Data Science (jds-online.org)

Updated

Authors submit through the “Submit your article” link on the journal homepage at jds-online.org, then follow the guidance in the “For contributors” section. Before submitting, check whether your paper fits an open special issue call, since those have separate deadlines and topics. The site does not publish a fee schedule or submission checklist in the available material, so confirm current requirements on the “For contributors” page rather than assuming them.

The submission path

  1. Go to jds-online.org.
  2. Use “Submit your article” in the site navigation to reach the submission entry point.
  3. Read “For contributors” before finalizing your manuscript; this is where the journal states its preparation and submission guidance.
  4. If you are targeting a special issue, read the full call for contributions and note its deadline.

Expected result: you reach the journal’s own submission and author-guidance pages, which are the authoritative source for format and process details.

Special issues with stated deadlines

The homepage lists calls for contributions with fixed dates. These are the concrete, checkable opportunities:

Special issue topic Stated deadline Posted
Data Cleaning, Curation, and Integration February 28, 2026 (extended) 2025-06-22
Statistical Aspects of Trustworthy Machine Learning December 31, 2024 (extended) 2024-06-12
Statistical Frontiers of Data Science September 30, 2024 2024-04-15
2024 WNAR/IMS/Graybill Annual Meeting July 1, 2024 2024-03-16

Only the data-cleaning special issue still has a future deadline as listed. The others have passed; treat them as closed unless the site shows a newer call.

What the journal publishes

Recent featured articles show the range of accepted work:

  • Causal Inference: A Tale of Three Frameworks — Linbo Wang, Thomas S. Richardson, James M. Robins (published online 11 Feb 2026)
  • The Typicality Principle and Its Implications for Statistics and Data Science — Yiran Jiang, Zeyu Zhang, Ryan Martin, and others (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)

Methodological, review-style, and perspective pieces all appear, which suggests a broad scope rather than a single article type. The most-read item, “MatLab vs. Python vs. R,” is a comparison piece, further indicating that applied and expository work is considered.

Practical checks before you submit

  • Match topic to a call if one fits. A special issue gives you a defined audience and deadline; a general submission has no listed cutoff.
  • Use the DOI pattern to confirm fit. Published items carry DOIs of the form 10.6339/…, which you can use to browse comparable articles.
  • Verify requirements on-site. The available material does not state fees, word limits, or review timelines. Do not assume the journal is free to publish or that review is fast; check “For contributors” and any linked author guidelines.
  • Watch the news section. New calls and deadline extensions are posted there, so recheck before planning around a date.

If your goal is simply to read the journal, use “Current issue,” “All issues,” or “To appear” instead of the submission links.