Big data, machine learning and artificial intelligence are becoming increasingly more central in the chemical sciences. It is important to consider how data drives new discoveries in chemistry at present and how datadriven discovery may develop in the future. The Faraday Discussion is an excellent format to facilitate indepth, interdisciplinary discussions between academic and industrial scientists from both molecular and materials fields. This volume offers new insights on how datadriven discovery can advance the chemical sciences. Bringing together scientists from a wide range of chemical science disciplines to deliberate and examine the ongoing role of datadriven discovery in their fields, this volume discusses both recent developments and future possibilities. In this volume, the topics covered are organised into the following themes Discovering chemical structure Discovering structureproperty correlations Discovering trends in big data Discovering synthesis targets | Royal Society of Chemistry Data-driven Discovery in the Chemical Sciences : Faraday