Conveners:
Patrizio Petricca (ISPRA, Servizio Geologico d'Italia)
Caterina Gozzi (Università di Firenze)
Giuseppe Vico (INGV)
Saverio Romeo (ISPRA, Servizio Geologico d'Italia)
patrizio.petricca@isprambiente.it
This session focuses on geological data and on the processes that transform data into geological knowledge. Rather than targeting specific geological settings or final products, it addresses how data are acquired, structured, manipulated, analysed, interpreted, and visualized within data-driven workflows. Contributions are encouraged that critically examine data types, data quality, and data handling strategies, including field observations, geological mapping, geognostic data, geophysical and geochemical datasets, remotely sensed products, historical and legacy data (e.g. analogue maps, technical reports, borehole records, seismic profiles), and multi-source digital archives aggregating datasets from different sources. Particular attention is given to multi-source and heterogeneous datasets, data harmonization, uncertainty, scale effects, and reproducibility. The session welcomes data-driven and computational approaches, such as statistical and spatial analysis, machine learning, and semi-automated methods, supporting geological interpretation and decision-making across different dimensions and scales. Contributions may address methodological aspects, workflow design, data constraints, and validation strategies. A central component of the session is data visualization as an integral part of interpretation, including interactive 2D/3D/4D visualization, visual analytics, uncertainty visualization, and web-based platforms. The session aims to promote a methodological discussion on data-driven practices, with relevant implications for applied studies related to resources, natural hazards, and sustainable interactions with the Earth system.