Large amounts of data are obtained in the context of SPP 100+. They play an essential role as they contain important information. How to transform monotonous data into meaningful knowledge is the focus of Cluster E. Therefore, data-driven methods related to monitoring data, modeling and optical 3D bridge inspection are investigated.