Description

Operating as an open-access, peer-reviewed international journal, CompData is devoted to the science, engineering, and application of data at scale. Spanning the full data lifecycle—from acquisition and storage to processing, analysis, and interpretation—the journal prioritizes scalable methods, algorithmic innovation, and reproducible research. CompData recognizes that data’s real value lies in the insights it generates, and thus encourages both methodological advances in machine learning, statistics, and optimization, and domain-driven applications across science, engineering, and society.