Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/375
Title: Measurement of research impact in OpenAIRE 2020: via text mining or the CRISs?
Authors: Dijk, Elly 
Keywords: research information management;data mining;research impact;OpenAIRE;Netherlands Organisation for Scientific Research (NWO);DANS;NARCIS;research funders;research project identification
Issue Date: 12-May-2015
Publisher: euroCRIS
Series/Report no.: euroCRIS Membership Meeting 2015 – Spring (AMUE, Paris, May 11-12, 2015)
Conference: Membership Meeting 2015 – Spring (Paris) 
Abstract: 
The 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.
Description: 
20 slides.-- Presentation delivered at the Topical Session "CRIS in the Information Landscape"
URI: http://hdl.handle.net/11366/375
Appears in Collections:Conference

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EuroCRIS OpenAIRE2020 Task 8.3 Elly Dijk.pptPPT presentation1.77 MBMicrosoft PowerpointView/Open
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