Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.

Arndt S, Farnbacher B, Fuhrmans M, Hachinger S, Hickmann J, Hoppe N, Horsch MT, Iglezakis D, Karmacharya A, Lanza G, Leimer S, et al. (2023) .

Kurzbeitrag Konferenz / Poster | Veröffentlicht | Englisch
 
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Autor*in
Arndt, Susanne; Farnbacher, Benjamin; Fuhrmans, Marc; Hachinger, Stephan; Hickmann, Johanna; Hoppe, Nils; Horsch, Martin Thomas; Iglezakis, Dorothea; Karmacharya, Ashish; Lanza, Giacomo; Leimer, Sophia; Munke, Johannes
Alle
Abstract / Bemerkung

The ontology Metadata4Ing is developed within the NFDI Consortium NFDI4Ing with the aim of providing a thorough framework for the semantic description of research data, with a particular focus on engineering sciences and neighbouring disciplines. This ontology allows a thorough description of the whole data generation process (experiment, observation, simulation), embracing the object of investigation, all sample and data manipulation procedures, a summary of the data files and the information contained, and all personal and institutional roles. The subordinate classes and relations can be built according to the two principles of inheritance and modularity. Inheritance means that a subclass inherits all properties of its superordinate class, possibly adding some new ones. Modularity means that all expansions are independent of each other; this makes possible for instance to generate expanded ontologies for any possible combinations of method × object of research.

The new version 1.2.0

  • simplifies the specification of parameters by variables
    • Allows to assign string values to variables
    • Offers the possibility to model value ranges
  • uses qudt terms for unit and quantity kind
  • switches to prov:Agent and prov:Organisation (replacing foaf:Person and foaf:Organisation)
  • updates JSON-LD context file, the documentation, the README and the metadata of the ontology
  • adds a citation.cff file
Stichworte
Ontologie; Ontology; Engineering; Ingenieurwissenschaften; NFDI; NFDI4ING; Provenance; Prozess; Metadaten; Metadata; Metadata4Ing
Erscheinungsjahr
2023
Page URI
https://pub.uni-bielefeld.de/record/2983331

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Arndt S, Farnbacher B, Fuhrmans M, et al. Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.
Arndt, S., Farnbacher, B., Fuhrmans, M., Hachinger, S., Hickmann, J., Hoppe, N., Horsch, M. T., et al. (2023). Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.. Presented at the . https://doi.org/10.5281/zenodo.8382665
Arndt, Susanne, Farnbacher, Benjamin, Fuhrmans, Marc, Hachinger, Stephan, Hickmann, Johanna, Hoppe, Nils, Horsch, Martin Thomas, et al. 2023. “Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.”. Presented at the .
Arndt, S., Farnbacher, B., Fuhrmans, M., Hachinger, S., Hickmann, J., Hoppe, N., Horsch, M. T., Iglezakis, D., Karmacharya, A., Lanza, G., et al. (2023).“Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.”.
Arndt, S., et al., 2023. Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.
S. Arndt, et al., “Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.”, 2023.
Arndt, S., Farnbacher, B., Fuhrmans, M., Hachinger, S., Hickmann, J., Hoppe, N., Horsch, M.T., Iglezakis, D., Karmacharya, A., Lanza, G., Leimer, S., Munke, J., Terzijska, D., Theissen-Lipp, J., Wiljes, C., Windeck, J.: Metadata4Ing: An ontology for describing the generation of research data within a scientific activity. (2023).
Arndt, Susanne, Farnbacher, Benjamin, Fuhrmans, Marc, Hachinger, Stephan, Hickmann, Johanna, Hoppe, Nils, Horsch, Martin Thomas, Iglezakis, Dorothea, Karmacharya, Ashish, Lanza, Giacomo, Leimer, Sophia, Munke, Johannes, Terzijska, Džulia, Theissen-Lipp, Johannes, Wiljes, Cord, and Windeck, Jürgen. “Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.”., 2023.
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