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dc.contributor.authorPage, Kevin R.en_NZ
dc.contributor.authorJett, Jacoben_NZ
dc.contributor.authorCole, Timothy W.en_NZ
dc.contributor.authorKudeki, Derenen_NZ
dc.contributor.authorBainbridge, Daviden_NZ
dc.contributor.authorOrganisciak, Peteren_NZ
dc.contributor.authorDownie, J. Stephenen_NZ
dc.coverage.spatialFort Worth, Texasen_NZ
dc.date.accessioned2018-07-11T00:09:34Z
dc.date.available2018en_NZ
dc.date.available2018-07-11T00:09:34Z
dc.date.issued2018en_NZ
dc.identifier.citationPage, K. R., Jett, J., Cole, T. W., Kudeki, D., Bainbridge, D., Organisciak, P., & Downie, J. S. (2018). Worksets expand the scholarly utility of digital libraries. In Proceedings of 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2018) (pp. 371–372). Fort Worth, Texas: ACM. https://doi.org/10.1145/3197026.3203886en
dc.identifier.isbn978-1-4503-5178-2en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/11928
dc.description.abstractScholars using digital libraries and archives routinely create worksets-aggregations of digital objects-as a way to segregate resources of interest for in-depth scrutiny. To illustrate how worksets can enhance the scholarly utility of digital library content, we distill from prior user studies three key objectives for worksets (extra-digital library manipulation, intra-item properties, and robust representations), and discuss how they motivated the workset model being developed at the HathiTrust Research Center (HTRC). We describe how HTRC's implementation of its RDF-compliant workset model helps to satisfy these objectives.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherACMen_NZ
dc.rights© 2018 Copyright is held by the authors.
dc.sourceJCDL 2018en_NZ
dc.subjectcomputer scienceen_NZ
dc.subjectdigital librariesen_NZ
dc.subjectworksetsen_NZ
dc.subjectHathiTrusten_NZ
dc.subjectsemantic weben_NZ
dc.subjectRDFen_NZ
dc.titleWorksets expand the scholarly utility of digital librariesen_NZ
dc.typeConference Contribution
dc.identifier.doi10.1145/3197026.3203886en_NZ
dc.relation.isPartOfProceedings of 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2018)en_NZ
pubs.begin-page371
pubs.elements-id225044
pubs.end-page372
pubs.finish-date2018-06-07en_NZ
pubs.organisational-group/Waikato
pubs.organisational-group/Waikato/2018 PBRF
pubs.organisational-group/Waikato/FCMS
pubs.organisational-group/Waikato/FCMS/2018 PBRF - FCMS
pubs.organisational-group/Waikato/FCMS/Computer Science
pubs.start-date2018-06-03en_NZ


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