Large amounts of intricately connected (measurement) data are coming into being within the scope of digitalization. Whether we are dealing with smart energy grids, autonomous driving or artificial intelligence in medicine – one thing is true of them all: Not only do we have to measure and evaluate individual values, we also have to understand and characterize complex systems of measurement procedures and sensors. Thinking holistically and cross-contextually is crucial too. And this is also something that will be required by metrology and the testing systems that have to guarantee trust, reliability and security in the future. Just as the international prototypes of the meter and the kilogram served as the standards for metrology in the past, so should the quality standards for networked data and AI be traceable to quantities which can be measured. This research will initially be advanced within the scope of three thematic fields: connected mobility, the smart city and digital medicine.
