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Modelling Scientific Processes with the m4i Ontology

Iglezakis, Dorothea ; Fuhrmans, Marc ; Lanza, Giacomo ; Terzijska, Džulia ; Arndt, Susanne ; Leimer, Sophia ; Hickmann, Johanna (2023)
Modelling Scientific Processes with the m4i Ontology.
1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities. Karlsruhe, Germany (12.09.2023 - 14.09.2023)
doi: 10.52825/cordi.v1i.271
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

We present an approach to document research data in a human and machine readable way by creating JSON-LD metadata files based on the m4i ontology. m4i is based on top level ontologies and reuses concepts of widely accepted ontologies to embed information modelled in m4i in larger contexts like a knowledge graph connecting research data with projects, actors, methods, tools and publications. We use a real-life research example from the engineering domain to show how to describe a research process with its object of research, the different steps with input and output data, the actors, and the used methods and tools. The resulting metadata files can serve as low-threshold documentation in a file system, as an exchange format between tools, as an input for data repositories and as a source of information to be used by scripts and tools.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2023
Autor(en): Iglezakis, Dorothea ; Fuhrmans, Marc ; Lanza, Giacomo ; Terzijska, Džulia ; Arndt, Susanne ; Leimer, Sophia ; Hickmann, Johanna
Art des Eintrags: Bibliographie
Titel: Modelling Scientific Processes with the m4i Ontology
Sprache: Englisch
Publikationsjahr: 7 September 2023
Verlag: TIB Open Publ.
Buchtitel: 1st Conference on Research Data Infrastructure (CoRDI) Connecting CommunitiesKarlsruhe (Germany), 12 -14 September 2023
Reihe: Proceedings of the Conference on Research Data Infrastructure
Band einer Reihe: 1
Veranstaltungstitel: 1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities
Veranstaltungsort: Karlsruhe, Germany
Veranstaltungsdatum: 12.09.2023 - 14.09.2023
DOI: 10.52825/cordi.v1i.271
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Kurzbeschreibung (Abstract):

We present an approach to document research data in a human and machine readable way by creating JSON-LD metadata files based on the m4i ontology. m4i is based on top level ontologies and reuses concepts of widely accepted ontologies to embed information modelled in m4i in larger contexts like a knowledge graph connecting research data with projects, actors, methods, tools and publications. We use a real-life research example from the engineering domain to show how to describe a research process with its object of research, the different steps with input and output data, the actors, and the used methods and tools. The resulting metadata files can serve as low-threshold documentation in a file system, as an exchange format between tools, as an input for data repositories and as a source of information to be used by scripts and tools.

Fachbereich(e)/-gebiet(e): Zentrale Einrichtungen
Zentrale Einrichtungen > Universitäts- und Landesbibliothek (ULB)
Zentrale Einrichtungen > Universitäts- und Landesbibliothek (ULB) > Informationstechnologie, Forschung und Entwicklung
Hinterlegungsdatum: 26 Sep 2024 14:09
Letzte Änderung: 26 Sep 2024 14:09
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