Karmacharya, Ashish ; Fuhrmans, Marc
Hrsg.: HeFDI - Hessische Forschungsdateninfrastrukturen (2022)
The Metadata4Ing Ontology. A basic introduction.
HeFDI-Forschungsdatentag 2022. virtuell (24.06.2022)
doi: 10.5281/zenodo.7018368
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Data documentation via metadata plays a major role in any research project and metadata is the key to finding and understanding even your own data. In addition, it provides a reliable record for future references and enables reuse and reproduction of results.
In order to enable FAIR (findable, accessible, interoperable, reusable) use of research data, the documentation needs to follow standardized norms and be machine-actionable. For this, semantic models offer a wide range of benefits. Different metamodel schemas exist today, designed and developed for different purposes and disciplines. However, in many cases the vocabularies and their semantic definitions and formalizations do not fit actual engineering applications.
Metadata4Ing (m4i) is an ontology based metamodel schema for process-based description of research, focusing on the provenance of both data and material objects. Metadata4Ing is intended as a general process model applicable to engineering and many other disciplines and focuses on general concepts like in- and output, employed methods and tools as well as the investigated entity, reusing terms of existing ontologies where possible.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2022 |
Autor(en): | Karmacharya, Ashish ; Fuhrmans, Marc |
Art des Eintrags: | Bibliographie |
Titel: | The Metadata4Ing Ontology. A basic introduction |
Sprache: | Englisch |
Publikationsjahr: | August 2022 |
Ort: | Genf |
Verlag: | Zenodo |
Veranstaltungstitel: | HeFDI-Forschungsdatentag 2022 |
Veranstaltungsort: | virtuell |
Veranstaltungsdatum: | 24.06.2022 |
DOI: | 10.5281/zenodo.7018368 |
URL / URN: | https://doi.org/10.5281/zenodo.7018368 |
Zugehörige Links: | |
Kurzbeschreibung (Abstract): | Data documentation via metadata plays a major role in any research project and metadata is the key to finding and understanding even your own data. In addition, it provides a reliable record for future references and enables reuse and reproduction of results. In order to enable FAIR (findable, accessible, interoperable, reusable) use of research data, the documentation needs to follow standardized norms and be machine-actionable. For this, semantic models offer a wide range of benefits. Different metamodel schemas exist today, designed and developed for different purposes and disciplines. However, in many cases the vocabularies and their semantic definitions and formalizations do not fit actual engineering applications. Metadata4Ing (m4i) is an ontology based metamodel schema for process-based description of research, focusing on the provenance of both data and material objects. Metadata4Ing is intended as a general process model applicable to engineering and many other disciplines and focuses on general concepts like in- and output, employed methods and tools as well as the investigated entity, reusing terms of existing ontologies where possible. |
Fachbereich(e)/-gebiet(e): | Zentrale Einrichtungen Zentrale Einrichtungen > Universitäts- und Landesbibliothek (ULB) Zentrale Einrichtungen > Universitäts- und Landesbibliothek (ULB) > Informationstechnologie, Forschung und Entwicklung |
Hinterlegungsdatum: | 19 Sep 2024 13:32 |
Letzte Änderung: | 19 Sep 2024 13:32 |
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