Monitoring the university ecosystem in Big Data environment

Abstract

ALM OF THE PAPER

The Triple Helix model is very common in examining the competitiveness of universities (Webster & Etzkovvitz 2000, Etzkowitz 2003a). The influence of the environment where the university operate is one of the most important factor in its competitiveness. (Etzkowitz & Klofsten 2005, EU 2011 ). The key component in the university’s competitiveness is the potential of knowledge which comes from the insider research community. We can typically use quantitative indicators for measuring this potential (Etzkowitz 2003b, NCEE 2014). In our model we prefer using qualitative indicators based on different types of datasources.

METHODOLOGY

We gather data inside and outside of the University of Pécs. From inside we use researcher projects, competencies, communication channels. From outside we use regional specific blogs, social media and news. In the model we use data- and textmining technique for mining relevant infonnation to support the calculation of our indicators.

MOST IMPORTANT RESULTS

As a result of this process we can automatically follow and analyse the information flow, social networks and researchers’ profiles at the university . Based on these new indicators we would like to support the competitiveness of the university better.

RECOMMENDATION

In this paper we present the base models of university competitiveness, the groups of indicators for measuring research groups in regional environment and the 1CT support for this process.