Using RDF is a natural choice for modelling semantically linked metadata for FAIR research data. However, the learning curve for RDF is steep, and even for data stewards, becoming familiar with all the relevant technicalities can be a major barrier. Therefore, ULB Darmstadt is heavily involved in developing and providing services that facilitate the creation and use of semantic metadata,...
Enriching data with describing metadata is the key-enabler for the reusability and interoperability of experimental results and thus to further research in a scientific domain. However, in order to be able to use data of former scientific work (both initial data and result data from experiments), a common understanding of the semantics of this data is essential. This understanding is typically...
For data to be fully exploitable and re-usable in different contexts it needs to be annotated with rich metadata that uses commonly understood vocabularies and semantics [1]. Using terminology that is standardized and agreed upon within a community ensures unambiguous understanding of metadata.
In the field of EM, a number of application-level initiatives independently started developing...
