Data-driven approaches to exploring environmental processes can yield novel insights and predictions that challenge existing knowledge and findings from complex deterministic models. However, we argue that insufficient value has been extracted from available environmental and hydrological data to date and scope exists to squeeze further insights from the available data. Authors are invited to submit papers that demonstrate novel data-oriented techniques, analyses, models, visualisation approaches or case studies that reveal novel insights derived from a data-driven approach.