Data Technologies and Applications Cover Image for Volume 60, Issue 2
Current Issue
Volume 60,
Issue 2,
9 April 2026

About Data Technologies and Applications

Data Technologies and Applications focuses on the management of digital information, mostly covering Information Science and Information System aspects. Covers all aspects of the data revolution brought about by the Internet and the World-Wide-Web.

This journal was previously published as Program: electronic library and information systems until 2017. Previous ISSN 0033-0337.

Submission information

Accepted manuscript types and word counts

  • Article — up to 9000 words
  • Short Communication — up to 5000 words
  • Survey or Review — up to 5000 words
  • Editorial — up to 3000 words

Please see the article types and word counts section on the about this journal page for more information. The word count includes all text, figures and tables. When estimating your total, please allow 280 words for each figure or table. Read more about the article types for this journal.

Reference style

Use the Harvard reference style. Read more about the reference types for this journal.

Keywords

Please include up to 6 short, relevant keywords that describe the main topics of your paper.

Peer review type

Double anonymous peer review. All submissions are sent to at least 2 independent and anonymous reviewers.

Open access options

This is a hybrid journal. Hybrid journals are subscription journals but offer all authors the option to publish their work open access. If you choose to publish open access you will be required to pay an article processing charge (APC). Alternatively you can opt for the green open access route and self-archive your article (at no cost to the author). Read more about our open access options.

Accepted languages

This journal only accepts manuscripts written in UK or US English.

Accepted submission files

Article files should be provided in Microsoft Word format.

View author guidelines

Calls for papers

Closes: 28th February 2027

This special issue explores how AI hallucinations affect digital information credibility, user trust, platform accountability, and data-driven governance in digital ecosystems.

Guest editor(s): Chien-Liang Lin, Martin J. Liu, I-Hsien Ting