Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/375
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dc.contributor.authorDijk, Ellyen_US
dc.date.accessioned2015-06-05T03:00:46Z-
dc.date.available2015-06-05T03:00:46Z-
dc.date.issued2015-05-12-
dc.identifier.urihttp://hdl.handle.net/11366/375-
dc.description20 slides.-- Presentation delivered at the Topical Session "CRIS in the Information Landscape"en_US
dc.description.abstractThe presentation describes the work on research impact assessment carried out by DANS within the OpenAIRE2020 project. This involves the data mining of full-text outputs in order to identify the research funder and establish the link between funder and publications that will allow to measure the research impact for a given project and/or funder. Issues around project and funder identification found in the process are discussed, together with the most effective information source (text-mining or CRIS systems) for assessing research impact.en_US
dc.language.isoenen_US
dc.publishereuroCRISen_US
dc.relation.ispartofserieseuroCRIS Membership Meeting 2015 – Spring (AMUE, Paris, May 11-12, 2015)-
dc.subjectresearch information managementen_US
dc.subjectdata miningen_US
dc.subjectresearch impacten_US
dc.subjectOpenAIREen_US
dc.subjectNetherlands Organisation for Scientific Research (NWO)en_US
dc.subjectDANSen_US
dc.subjectNARCISen_US
dc.subjectresearch fundersen_US
dc.subjectresearch project identificationen_US
dc.titleMeasurement of research impact in OpenAIRE 2020: via text mining or the CRISs?en_US
dc.typePresentationen_US
dc.relation.conferenceMembership Meeting 2015 – Spring (Paris)en_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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EuroCRIS OpenAIRE2020 Task 8.3 Elly Dijk.pptPPT presentation1.77 MBMicrosoft Powerpoint
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