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Identifying audiences of e-infrastructures - tools for measuring impact

Duin, Daphne; King, David and Van Den Besselaar, Peter (2012). Identifying audiences of e-infrastructures - tools for measuring impact. PLoS ONE, 7(12), article no. e50943.

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URL: http://www.plosone.org/article/info%3Adoi%2F10.137...
DOI (Digital Object Identifier) Link: https://doi.org/10.1371/journal.pone.0050943
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Abstract

Research evaluation should take into account the intended scholarly and non-scholarly audiences of the research output. This holds too for research infrastructures, which often aim at serving a large variety of audiences. With research and research infrastructures moving to the web, new possibilities are emerging for evaluation metrics. This paper proposes a feasible indicator for measuring the scope of audiences who use web-based e-infrastructures, as well as the frequency of use. In order to apply this indicator, a method is needed for classifying visitors to e-infrastructures into relevant user categories. The paper proposes such a method, based on an inductive logic program and a Bayesian classifier. The method is tested, showing that the visitors are efficiently classified with 90% accuracy into the selected categories. Consequently, the method can be used to evaluate the use of the e-infrastructure within and outside academia.

Item Type: Journal Item
Copyright Holders: 2012 Duin et al.
ISSN: 1932-6203
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetEuropean Union 7th Framework Programme
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 36121
Depositing User: David King
Date Deposited: 14 Jan 2013 10:52
Last Modified: 02 May 2018 13:48
URI: http://oro.open.ac.uk/id/eprint/36121
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