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dc.creatorPalavitsinis, N.en
dc.creatorManouselis, N.en
dc.creatorKaragiannidis, C.en
dc.date.accessioned2015-11-23T10:42:04Z
dc.date.available2015-11-23T10:42:04Z
dc.date.issued2013
dc.identifier10.1007/978-3-319-03437-9_12
dc.identifier.isbn9783319034362
dc.identifier.issn18650929
dc.identifier.urihttp://hdl.handle.net/11615/31532
dc.description.abstractLow metadata quality is a problem faced by most digital repositories, affecting resource discoverability and the overall quality of services and search mechanisms that are supported by these repositories. Metadata training of human annotators presents itself as a major challenge to contribute towards higher metadata quality for the digital resources hosted in repositories. This paper discusses the positive results of previous approaches to metadata training in the cases of a educational, cultural and scientific/research repositories, and it attempts to improve them by using the Nominal Group technique. © Springer International Publishing Switzerland 2013.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-84904615834&partnerID=40&md5=b53875824ba29f743bfa793524d0b7a0
dc.subjectdomain expertsen
dc.subjectevaluationen
dc.subjectmetadataen
dc.subjecttrainingen
dc.subjectPersonnel trainingen
dc.subjectResearchen
dc.subjectSemanticsen
dc.subjectDigital repositoryen
dc.subjectDigital resourcesen
dc.subjectMetadata qualityen
dc.subjectNominal group techniquesen
dc.subjectSearch mechanismen
dc.titleApplying the Nominal Group Technique for Metadata Training of Domain Expertsen
dc.typeotheren


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Εμφάνιση απλής εγγραφής