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  4. Strategies for the management and adoption of impact capture processes within research information management systems

Strategies for the management and adoption of impact capture processes within research information management systems

Author(s)
Keywords

research impact

research information ...

current research info...

Issue Date
May 13, 2014
Publisher
euroCRIS
Source
"Managing Data-Intensive Science: the Role of Research Information Systems in Realising the Digital Agenda": Proceedings of the 12th International Conference on Current Research Information Systems (2014)
Procedia Computer Science 33: 25-32 (2014)
Type
Conference Paper
Abstract
Following the 2014 UK Research Excellence Framework (REF), attention across the Higher Education sector is turning to embedding impact measurement within the organisation. Impact is defined as the social, financial and environmental effects of research. Planning and capturing impact however is a difficult and resource-intensive activity, demanding both strategic commitment and infrastructure support. A means to systematically capture and monitor impact across the organisation is crucial to continued research success. In addition, with impact data capture as an emerging practice, there is the opportunity and necessity for a degree of standardisation in the approach to measuring impact across HEIs. Vertigo Ventures, an impact measurement consultancy, has been using and expanding its tool- VV-Impact Metrics with UK universities to support assessments by identifying impact pathways, impact indicators, evidence collection and analysis to improve the quality of the evidence and narrative. Vertigo Ventures has been working with Coventry University to use its VV-Impact Metrics tool in their self-service module (ERIC) to create a systematised data capture platform that can be readily used by the academic community to input data. This paper discusses the experience and learning from the process of embedding a solution institutionally.
Description
Delivered at the CRIS2014 Conference in Rome; published in Procedia Computer Science 33 (Jul 2014).
Contains conference paper (8 pages) and presentation (19 slides).
URI
https://dspacecris.eurocris.org/handle/11366/182
DOI
http://dx.doi.org/10.1016/j.procs.2014.06.005
File(s)
Thumbnail Image
Name

Fedorciow_Bayley_CRIS2014_Rome.pdf

Description
post-print version
Size

398.29 KB

Format

Adobe PDF

Checksum (MD5)

5ca6e41e227f7e07fe07fdb38fed3052

Thumbnail Image
Name

TS1_Fedorciow_Bayley_CRIS2014.pdf

Description
presentation
Size

619.18 KB

Format

Adobe PDF

Checksum (MD5)

4e08bae47531ebb08abd58919a24ba4a

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