Abstract
The relevance of collaborations among scientists is growing steadily in order to address complex research problems. On the basis of research institutions this trend of increased collaboration is being shaped through interdisciplinary research centres, institutional networks or centres of excellence. The identification and promotion of collaborative research within the own university has become a crucial part of strategic planning.Using CRIS-Data as enrichment for decision-making seems to be a practical and obvious approach since in this environment research information across all disciplines are getting consolidated explicitly. In the field of scientometricsexamining research collaboration with methods taken from the social network analysis is widely accepted. Instead of analysing the macro-level of science, this paper deals with the potential benefits of using methods from the social network analysis in providing quantitative information about the intra-organizational collaboration for purposes of research management.
Highlights
In order to address complex research problems the relevance of global collaborations among scientists is growing steadily[1]
The analytical dimensions are a good baseline for a systematization of limitations and resulting future research
The application of network metrics needs to be amplified in many ways
Summary
In order to address complex research problems the relevance of global collaborations among scientists is growing steadily[1]. Besides that interdisciplinary research approaches are Stefan Schlattmann / Procedia Computer Science 00 (2016) 000–000 substantial drivers of collaboration. On the basis of research institutions this trend of increased collaboration is being shaped through interdisciplinary research centres, institutional networks or centres of excellence [3]. This development can among other factors be traced to an ascending appreciation of interdisciplinary research by funding organizations [4]. Foremost two strategic tasks were identified in which knowledge about the characteristics and the intensity of collaborations within a university can provide substantial information:
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