Data Engineering and Applications

About the Journal

Data Engineering and Applications (DEA) eISSN 3107-099X is an open-access, peer-reviewed international journal committed to publishing high-quality research across the full spectrum of data-related disciplines. The journal serves as an interdisciplinary platform that bridges data theory, technology, and application across diverse sectors including but not limited to engineering, computer science, business, healthcare, social sciences, agriculture, and the arts.

We invite submissions that explore innovative methods, systems, case studies, and applications involving data generation, processing, analysis, visualization, security, governance, and utilization. The journal emphasizes both theoretical contributions and real-world implementations, aiming to support data-driven innovation and digital transformation across industries.