Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/654
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dc.contributor.authorToon, Jamesen_US
dc.contributor.authorKujath, Alexanderen_US
dc.contributor.authorKhazzam, Elien_US
dc.date.accessioned2018-05-09T09:21:34Z-
dc.date.available2018-05-09T09:21:34Z-
dc.date.issued2018-06-14-
dc.identifier.urihttp://hdl.handle.net/11366/654-
dc.descriptionExtended abstract accepted at the CRIS2018 Conference.-- See event programme at http://www.cris2018.se/schedule/en_US
dc.description.abstractThis abstract is intended to provide information on how we have developed an easily deployed and scalable CRIS aggregation service intended to provide value-added services for research communities, based on research information sourced via CRIS systems and/or repositories used by participating institutions. The goal was to build a common, inter-institutional information source based on the Pure data model. The proposed presentation will describe the technical approach taken and outline some core challenges encountered. The paper and presentation will also invite discussion around future opportunities made possible because of the new aggregation service.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.subjectsystem interoperabilityen_US
dc.subjectinformation exchangeen_US
dc.subjectaggregation servicesen_US
dc.subjectPureen_US
dc.titleDeveloping a model approach for community led CRIS aggregationsen_US
dc.typePresentationen_US
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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