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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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| EuroCRIS OpenAIRE2020 Task 8.3 Elly Dijk.ppt | PPT presentation | 1.77 MB | Microsoft Powerpoint | View/Open |
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