A decision support system for institutional research management in higher education : data mining to determine research focus, intensity and synergy

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dc.contributor.author Ehlers, Kobus
dc.contributor.author Joubert, Malan
dc.contributor.author Kinghorn, Johann
dc.contributor.author Van Zyl, Arnold
dc.date.accessioned 2010-02-24T08:34:54Z
dc.date.available 2010-02-24T08:34:54Z
dc.date.issued 2009
dc.identifier.citation Ehlers, K., Joubert, M., Kinghorn, J. & Van Zyl, A. 2009. A decision support system for institutional research management in higher education: data mining to determine research focus, intensity and synergy. IEEE International Conference on Computational Science and Engineering, Vancouver, Canada, 29-31 August 2009, 885-890. en
dc.identifier.isbn 9780769538235
dc.identifier.other 14322919 en_ZA
dc.identifier.other 10443711 en_ZA
dc.identifier.other 14218062 en_ZA
dc.identifier.other 15616355 en_ZA
dc.identifier.other 10.1109/CSE.2009.222
dc.identifier.uri http://hdl.handle.net/10019.1/490
dc.description 6 A4 pages in PDF format en_ZA
dc.description.abstract Research orientated universities face a conundrum. On the one hand research areas are increasing and expanding; on the other research resources are – in relative terms – diminishing. As a consequence a more active approach to shaping the institutional research profile is called for. This presupposes a clear view of research activities at the institution, but this is notoriously lacking, universities being what they are. This paper reports on a DSS which was developed for research management at Stellenbosch University, South Africa. Within the context of a rather unique national management system for higher education, a data mining approach was developed and tested. A modified ontology model was built to bridge the inherent ambiguity when clustering outputs across different academic disciplines. The results enabled research managers to correlate (in a meaningful way) strategic goals with actual output. The outcome points to a number of further possibilities for the application of this system. en_ZA
dc.description.abstract 2009 International Conference on Computational Science and Engineering. Vancouver, Canada August 29-August 31 2009. en
dc.language.iso en_ZA en_ZA
dc.publisher IEEE CS en_ZA
dc.relation.ispartofseries CSE;2009.222
dc.subject Decision support system en_ZA
dc.subject Data mining en_ZA
dc.subject University research en_ZA
dc.subject Research management en_ZA
dc.subject.lcsh Education, Higher -- South Africa -- Research -- Congresses
dc.subject.lcsh Universities and colleges -- South Africa -- Research -- Congresses
dc.subject.lcsh Research institutes -- South Africa -- Congresses
dc.title A decision support system for institutional research management in higher education : data mining to determine research focus, intensity and synergy en_ZA
dc.type Article en_ZA


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