Speaker
Description
The talk will cover recent progress on services and tools developed in NFDI4Cat that could be useful beyond Catalysis. An overview will be presented to foster discussions on deepening the collaboration between FAIRMat and NFDI4Cat. The community represented by NFDI4Cat is characterised by a very broad range of topics from material science over chemistry and biology to chemical engineering. This results in large variety of data and complex metadata, which make achieving interoperability particularly challenging. Therefore, NFDI4Cat has devoted significant efforts to standard-compliant fundamental building blocks of FAIR RDM, such as ontologies, vocabularies or persistent identifiers.
Shared, machine-readable vocabularies are of utmost importance to FAIRly annotate data for machine consumption and to facilitate data reuse. In the field of catalysis, no such vocabulary existed which motivated the creation of Voc4Cat. For each concept (or "term"), Voc4Cat provides a unique resolvable persistent identifier and a carefully written textual definition, which reflects the community’s shared understanding of the concept’s meaning. The vocabulary is expressed in the SKOS standard. By using the identifiers provided by Voc4Cat to annotate data, ambiguity as to what is meant is avoided. Producing Voc4Cat-annotated data contributes to realizing the vision of machine-actionability described as the ultimate goal of the FAIR principles. Examples of (potential) applications where Voc4Cat can be integrated include its use in local electronic-lab-notebook-like tools (e.g. LARASuite, ADACTA, CaRMeN, LabIMotion), data repositories (e.g. NOMAD, Repo4Cat), in education (e.g., RDM4Lab), and for a keyword catalogue in scientific publishing (e.g., collaboration with ChemCatChem).