Identifying Audiences of E-Infrastructures – Tools for Measuring Impact

See on Scoop.itDual impact of research; towards the impactelligent university

This paper addresses the methodological question: can we build an identification and classification method with computational techniques, in order to cluster “Visiting Organizations” (VO’s) to scientific websites into meaningful categories? identifying categories of Visiting Organizations to the relevant websites, and measuring their size, growth, and intensity of use, would make a good indicator for evaluating parts of the work carried out by researchers. Such a metric accounts for more types of research output than only publications – such as data sets and analytical tools. And, the indicator helps identifying other users than peers only, and therefore covers the broader impact within and outside academia. This paper addresses two tasks: 1) to identify the different VOs visiting a research website; 2) to classify those VOs into relevant user categories. In this paper, the authors focus on methods to perform those tasks in a ‘doable’ way that does not require specialist expertise.


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.


Identifying Audiences of E-Infrastructures – Tools for Measuring Impact
On December 15, 2012, in Scientific research, by World Wide Moon Org LP

Daphne Duin1#, David King2#, Peter van den Besselaar1*

1 Department of Organization Sciences and Network Institute, VU-University Amsterdam, Amsterdam, The Netherlands, 2 Department of Computing, The Open University, Milton Keynes, United Kingdom
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About Wilfred Mijnhardt
RMIMR is my virtual playground, a place to reflect on issues from my professional context, my job as Policy Director at Rotterdam School of Management, Erasmus University (RSM). RSM is the international university based business school at Erasmus University Rotterdam. More info here: Here is my list of relevant publications on the topic of my RMIMR weblog: The rss feed for my RMIMR collection is here: Here is my other weblog on impact of research:

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