Data science involves extracting knowledge and insights from structured and unstructured data. In catalysis, data science techniques can analyze experimental and simulation data to uncover trends and optimize catalytic processes. By leveraging big data analytics, researchers can make more informed decisions and improve the efficiency of catalyst development projects.