Data compatibility refers to the ability of different data sets or systems to work together seamlessly, ensuring that data can be shared, processed, and understood across different platforms without loss of integrity or meaning. Achieving data compatibility often requires standardization, adherence to protocols, and sometimes data transformation to bridge differences in data formats or structures.