Leveraging Mashups Approaches to Address Research Evaluation Challenges

The evaluation of research, i.e., the assessment of productivity or measuring and comparing impact, is an instrument to select and promote personnel, assign research grants and measure the results of research projects. However, there is little consensus today on how research evaluation should be done, and it is commonly acknowledged that the quantitative metrics available today are largely unsatisfactory. The process is very often highly subjective and there are no universally accepted criteria. Computing reliable and useful evaluation criteria typically requires solving complex data integration problems and expressing custom evaluation metrics. In our current research work we show that leveraging mashups approaches we can address domain specific evaluation challenges. We aim at providing a mashup platform which will support the research evaluation domain. Finally we will explore what we can learn from this development in order to generalize our finding and tackle other domain specific mashup applications.