Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/643
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dc.contributor.authorWalther, Tatianaen_US
dc.contributor.authorHauschke, Christianen_US
dc.contributor.authorKasprzik, Annaen_US
dc.date.accessioned2018-05-08T20:09:22Z-
dc.date.available2018-05-08T20:09:22Z-
dc.date.issued2018-06-15-
dc.identifier.citation"FAIRness of Research Information": Proceedings of the 14th International Conference on Current Research Information Systems (CRIS2018)-
dc.identifier.citationProcedia Computer Science 146: 29-38 (2019)-
dc.identifier.urihttp://hdl.handle.net/11366/643-
dc.descriptionPresentation delivered at the CRIS2018 Conference Umeå within parallel session 11 "Models and Data Integration III"en_US
dc.descriptionContains extended abstract accepted at the conference and presentation (36 slides) delivered at the event-
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publishereuroCRISen_US
dc.relation.ispartofseriesCRIS2018: 14th International Conference on Current Research Information Systems (Umeå, June 13-16, 2018)-
dc.subjectresearch information managementen_US
dc.subjectCore Data Set (CDS)en_US
dc.subjectlinked open dataen_US
dc.subjectVIVOen_US
dc.titleThe Research Core Dataset (KDSF) in Linked Data contexten_US
dc.typePresentationen_US
dc.identifier.doihttps://doi.org/10.1016/j.procs.2019.01.074-
dc.relation.conferenceCRIS2018 – Umeåen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairetypePresentation-
item.fulltextWith Fulltext-
item.languageiso639-1en-
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Walther_Hauschke_CRIS2018_paper_KDSF.pdfExtended abstract (PDF)225.77 kBAdobe PDF
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CRIS2018_WaltherT_HauschkeC_KDSF in LD Context.pdfPDF presentation1.61 MBAdobe PDF
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