The importance of large datasets in catalysis cannot be overstated. They provide a wealth of information that can help in the design and optimization of catalysts. By analyzing large datasets, researchers can identify trends and correlations that may not be apparent from smaller datasets, thereby accelerating the discovery of new catalysts and improving the understanding of catalytic processes.