Data harmonization is the process of integrating multiple datasets that contain similar information but are structured differently. This involves standardizing data formats, definitions, and variables in order to make the datasets compatible with each other and to enable meaningful analysis and interpretation. Data harmonization is important in research to ensure data quality, consistency, and comparability across studies, and to facilitate data sharing and collaboration. It is often used in large-scale research projects that involve data from multiple sources or studies.