Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/182
Title: Strategies for the management and adoption of impact capture processes within research information management systems
Authors: Fedorciow, Laura 
Bayley, Julie 
Keywords: research impact;research information management;current research information systems
Issue Date: 13-May-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)
Series/Report no.: CRIS2014: 12th International Conference on Current Research Information Systems (Rome, May 13-15, 2014)
Conference: CRIS2014 Conference 
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: http://hdl.handle.net/11366/182
DOI: http://dx.doi.org/10.1016/j.procs.2014.06.005
Appears in Collections:Conference

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