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

Ehlers, Kobus ; Joubert, Malan ; Kinghorn, Johann ; Van Zyl, Arnold (2009)

6 A4 pages in PDF format


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.

2009 International Conference on Computational Science and Engineering. Vancouver, Canada August 29-August 31 2009.

Please refer to this item in SUNScholar by using the following persistent URL: http://hdl.handle.net/10019.1/490
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