SKOSMOS
Vocabulary browser
To support data interoperability, the data should be described using vocabularies that provide the terms or concepts that are adequate to represent their content. To be FAIR, the vocabulary and its terms/concepts should at least have globally unique and persistent identifiers that can be resolved using a standardised communication protocol, and should be described with a formal, accessible, shared and broadly applicable language for knowledge representation.
For this reason, in NEP we provide an instance of SKOSMOS, an open source web-based service to publish vocabularies using the Simple Knowledge Organization System (SKOS) model. The service allows users to search and browse vocabularies and individual concepts, which are assigned unique identifiers (URIs).
Initial view of the MDMC-NEP Glossary
The instance currently displays the MDMC-NEP Glossary of Terms, a result of the Metadata Working Group, which involves members of NEP and of the Joint Lab “Integrated Model and Data Driven Materials Characterization” (JL-MDMC) of the Helmholtz Association. The glossary aims at describing at a high level both experimental and computational workflows, framed in the existing or planned management infrastructure of the involved projects, and at representing the provenance information. The included terms are intended to reflect the lifecycle of entities and data collected in nanoscience and materials science research studies, from the fabrication of a material to the scientific publication, and then archived for the purposes of further data discovery and data sharing.
Using the URI, the terms of the glossary can be individually integrated into metadata schemas or used in other applications. Currently, the Metadata Editor is able to resolve the terms in the JSON schemas registered in MetaRepo. However, the terms in this Glossary can be generically adopted and integrated via their URIs by any other initiatives focused on material science.
This will present the huge advantage of having a basic common description of entities and processes in the material science domain, offering a set of metadata which, in turn, will increase the interoperability and the reuse of research data by different communities.
Contact
Rossella Aversa, rossella.aversa@kit.edu
