About the Journal

Scope and Topics
The journal covers, but is not limited to, the following areas:

  • Data science, engineering, and architecture

  • Artificial intelligence and machine learning for data

  • Big data platforms and cloud computing

  • Data mining and pattern recognition

  • Data visualization and visual analytics

  • Data privacy, security, and governance

  • Industry 4.0 and IoT data applications

  • Health informatics and biomedical data

  • Environmental and agricultural data systems

  • Business analytics and decision support systems

  • Digital humanities and social data analysis

  • Open data, smart cities, and public policy

  • Education data and learning analytics

  • Data ethics and responsible AI

Target Audience
Scholars, researchers, data professionals, software developers, policy analysts, and decision-makers from academia, industry, and public institutions.

Submission Types

  • Original research articles

  • Review papers

  • Case studies

  • Technical notes

  • Data descriptor papers

Access

All articles in the journal are of Open Access (OA).

Frequency

This journal is published quarterly.

Copyright notice

Authors retain copyright over their materials and are free to copy, redistribute, remix, transform, and build upon the material since all the papers are published under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.

Archiving

All the articles published by JAAT are archived using Global LOCKSS Network and Olos preservation service. In addition, all content is deposited in the PKP Preservation Network (PKP PN) for secure dark archive preservation.