The integration of diverse datasets is crucial for a comprehensive understanding of catalytic processes. Combining data from high-throughput screening, computational chemistry, and in-situ characterization provides a holistic view of catalyst behavior. This integrated approach allows for the correlation of structural properties with catalytic performance, leading to the design of more efficient and robust catalysts.