Measurement of research impact in OpenAIRE 2020: via text mining or the CRISs?

Author(s)
Keywords

research information ...

data mining

research impact

OpenAIRE

Netherlands Organisat...

DANS

NARCIS

research funders

research project iden...

Issue Date
May 12, 2015
Publisher
euroCRIS
Type
Presentation
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
https://dspacecris.eurocris.org/handle/11366/375
File(s)
Thumbnail Image
Name

EuroCRIS OpenAIRE2020 Task 8.3 Elly Dijk.ppt

Description
PPT presentation
Size

1.73 MB

Format

Microsoft Powerpoint

Checksum (MD5)

9d3d0e1f7e1c8866f9a77f99ae651fab