Data integration is the academic field and methodological approach concerned with combining data from multiple, heterogeneous sources into a coherent and unified representation. This process investigates techniques for addressing challenges such as schema matching, entity resolution, and data cleaning to ensure consistency and enable comprehensive analysis and knowledge discovery across diverse research domains.