Identifying audiences of e-infrastructures--tools for measuring impact.

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 possibilitie...

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Auteurs principaux:	Daphne Duin, David King, Peter van den Besselaar
Format:	article
Langue:	EN
Publié:	Public Library of Science (PLoS) 2012
Sujets:	Medicine R Science Q
Accès en ligne:	https://doaj.org/article/8bbbb1bfc22c4faa80e2c5c860ebfc09
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id	oai:doaj.org-article:8bbbb1bfc22c4faa80e2c5c860ebfc09
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spelling	oai:doaj.org-article:8bbbb1bfc22c4faa80e2c5c860ebfc092021-11-18T08:05:37ZIdentifying audiences of e-infrastructures--tools for measuring impact.1932-620310.1371/journal.pone.0050943https://doaj.org/article/8bbbb1bfc22c4faa80e2c5c860ebfc092012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23239995/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Research 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.Daphne DuinDavid KingPeter van den BesselaarPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 12, p e50943 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Daphne Duin David King Peter van den Besselaar Identifying audiences of e-infrastructures--tools for measuring impact.
description	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.
format	article
author	Daphne Duin David King Peter van den Besselaar
author_facet	Daphne Duin David King Peter van den Besselaar
author_sort	Daphne Duin
title	Identifying audiences of e-infrastructures--tools for measuring impact.
title_short	Identifying audiences of e-infrastructures--tools for measuring impact.
title_full	Identifying audiences of e-infrastructures--tools for measuring impact.
title_fullStr	Identifying audiences of e-infrastructures--tools for measuring impact.
title_full_unstemmed	Identifying audiences of e-infrastructures--tools for measuring impact.
title_sort	identifying audiences of e-infrastructures--tools for measuring impact.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/8bbbb1bfc22c4faa80e2c5c860ebfc09
work_keys_str_mv	AT daphneduin identifyingaudiencesofeinfrastructurestoolsformeasuringimpact AT davidking identifyingaudiencesofeinfrastructurestoolsformeasuringimpact AT petervandenbesselaar identifyingaudiencesofeinfrastructurestoolsformeasuringimpact
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Identifying audiences of e-infrastructures--tools for measuring impact.

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