The Research Core Dataset (KDSF) in the Linked Data context

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dc.identifier.uri http://dx.doi.org/10.15488/4542
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/4584
dc.contributor.author Walther, Tatiana ger
dc.contributor.author Hauschke, Christian ger
dc.contributor.author Kasprzik, Anna ger
dc.contributor.editor Sicilia, Miguel-Angel
dc.contributor.editor Simons, Ed
dc.contributor.editor Clements, Anna
dc.contributor.editor Castro, Pablo de
dc.contributor.editor Bergström, Johan
dc.date.accessioned 2019-03-18T07:40:29Z
dc.date.available 2019-03-18T07:40:29Z
dc.date.issued 2019
dc.identifier.citation Walther, T.; Hauschke, C.; Kasprzik, A.: The Research Core Dataset (KDSF) in the Linked Data context. In: Sicilia, M.-A.; Simons, E.; Clements, A.; Castro, P. de; Bergström, J. (Eds.): 14th International Conference on Current Research Information Systems, CRIS2018, FAIRness of Research Information. Amsterdam [u.a.] : Elsevier, 2019 (Procedia computer science ; 146), S. 29-38. DOI: https://doi.org/10.1016/j.procs.2019.01.074 ger
dc.description.abstract This paper describes our efforts to implement the Research Core Dataset (“Kerndatensatz Forschung”; KDSF) as an ontology in VIVO. KDSF is used in VIVO to record the required metadata on incoming data and to produce reports as an output. While both processes need an elaborate adaptation of the KDSF specification, this paper focusses on the adaptation of the KDSF basic data model for recording data in VIVO. In this context, the VIVO and KDSF ontologies were compared with respect to domain, syntax, structure, and granularity in order to identify correspondences and mismatches. To produce an alignment, different matching approaches have been applied. Furthermore, we made necessary modifications and extensions on KDSF classes and properties. ger
dc.language.iso eng ger
dc.publisher Amsterdam [u.a.] : Elsevier
dc.relation.ispartof 14th International Conference on Current Research Information Systems, CRIS2018, FAIRness of Research Information
dc.relation.ispartofseries Procedia computer science ; 146 ger
dc.rights CC BY-NC-ND 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/ ger
dc.subject research information management eng
dc.subject Linked Data eng
dc.subject VIVO eng
dc.subject Research Core Dataset eng
dc.subject ontology matching eng
dc.subject Konferenzschrift ger
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 020 | Bibliotheks- und Informationswissenschaft ger
dc.title The Research Core Dataset (KDSF) in the Linked Data context ger
dc.type BookPart ger
dc.type Text ger
dc.relation.doi 10.1016/j.procs.2019.01.074
dc.bibliographicCitation.volume 146
dc.description.version publishedVersion ger
tib.accessRights frei zug�nglich ger


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