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Published February 22, 2022 | Version 1.0.0
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Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.

  • 1. Technische Informationsbibliothek (TIB)
  • 2. Technische Universität München (TUM)
  • 3. Technische Universität Darmstadt
  • 4. Leibniz Supercomputing Centre (LRZ)
  • 5. Technische Universität Berlin
  • 6. UK Research and Innovation (UKRI)
  • 7. Universität Stuttgart
  • 8. Physikalisch-Technische Bundesanstalt (PTB)
  • 9. Universität Duisburg-Essen
  • 10. Karlsruher Institut für Technologie (KIT)
  • 11. RWTH Aachen University
  • 12. Universität Bielefeld


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 authors (Metadata4Ing Workgroup) would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.


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