Abstract:
Enhancing data interpretation and interfacing in energy systems analysis are key concepts to make research in the energy domain more FAIR and, thus, more efficient.
Data analysts are faced with heterogeneity of data and an incompatibility of definitions. Referring to ontologies is not only a remedy to those problems, but it is also a precondition for model coupling and semantic analysis of data.
When producing data, their enrichment with metadata, describing them in a standardized way, is a challenge for every researcher. The publication of these metadata on a distributed data infrastructure (e.g. the databus within the open energy family) enhances their findability by other fellows, without alternating the ownership.
A tool to automatize the publication of metadata on a databus, i.e. registration of data, is proposed in this poster.