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

  • Short communications