An appropriate metadata management should enable researchers to select the right data set for their own research from a multitude of already existing digital data sets. In accordance with the FAIR principles, metadata must be interpretable for humans and machines. In the research project “Applying Interoperable Metadata Standards (AIMS)”, funded by the German Research Foundation (DFG), these challenges of metadata management for engineering research are addressed.The project focus is on mechanical engineering and related disciplines. The interdisciplinary team, distributed across several institutions from infrastructure and science, is creating a platform here that enables researchers to create and share metadata schemas. Through a modelling concept that relies on inheritance and modularity, a high degree of specificity can be achieved with maximum applicability and reusability of the metadata schemas. This will increase the acceptance of researchers to integrate structured metadata into their research processes, paving the way for common metadata standards as they become more widespread.