The research department investigates the entire data life cycle of photonic data, which extends from data generation to evaluation and archiving. The data life cycle is considered in a holistic approach and methods and algorithms for experiment planning, sample size planning, data pretreatment and data standardization are investigated. These methods are combined with chemometric methods, model transfer techniques and artificial intelligence methods in a data pipeline. This holistic approach makes it possible to use data from various photonic methods for analysis, diagnostics and therapy in various fields of application, e.g. medicine, the life and environmental sciences and pharmacy.