Heterogeneous data in catalysis encompasses the diverse types of data generated from different sources and techniques, such as spectroscopy, microscopy, and computational modeling. This data is critical for understanding the mechanisms, kinetics, and efficiency of catalytic processes. Integrating and analyzing heterogeneous data can lead to the discovery of new catalysts and the optimization of existing ones.