The method analyzes the different research questions with their optimization goals, methods, associated design and logging of experiments and available data. The systematic overview is used to develop further, cross-project research questions in exchange with the GRK 2250/2 PhD projects. These questions should be answered with the available data, if possible without additional experiments. Furthermore, the aspect of design and optimization of applications under changed target parameters shall be taken up by modelling the necessary methodical procedure and assigning suitable application-specific test series. On the basis of the data sets, AI algorithms to be developed should allow scope for parametric adaptations and ensure strong synergy and high efficiency in the utilization of archived and exchanged data. The data management and evaluation concept is to include the multitude of different examination methods as well as material and structural parameters from the different observation levels in the context of relevant application scenarios and to match and finally link them from methodical view and data view.