The status for data-driven approaches in heterogeneous catalysis is promising, with strong application in computational fields and increasing demonstrations of potential in experimental laboratories. However, challenges remain with respect to ensuring the quality and completeness of individual datasets, as well as improving accessibility and standardisation. Opportunities have been highlighted that include increased automation within research environments, improved cross-discipline communication, and efforts among users to reach distribution standards that will benefit emergent as well as established researchers.