Title
Using Linked Data to Evaluate the Impact of Research and Development in Europe: A Structural Equation Model
Abstract
Europe has a high impact on the global biomedical literature, having contributed with a growing number of research articles and a significant citation impact. However, the impact of research and development generated by European countries on economic, educational and healthcare performance is poorly understood. The recent Linking Open Data (LOD) project has made a lot of data sources publicly available and in human-readable formats. In this paper, we demonstrate the utility of LOD in assessing the impact of Research and Development (R&D) on the economic, education and healthcare performance in Europe. We extract relevant variables from two LOD datasets, namely World Bank and Eurostat. We analyze the data for 20 out of the 27 European countries over a span of 10 years (1999 to 2009). We use a Structural Equation Modeling (SEM) approach to quantify the impact of R&D on the different measures. We perform different exploratory and confirmatory factorial analysis evaluations which gives rise to four latent variables that are included in the model: (i) Research and Development (R&D), (ii) Economic Performance (EcoP), (iii) Educational Performance (EduP), (iv) Healthcare performance (HcareP) of the European countries. Our results indicate the importance of R&D to the overall development of the European educational and healthcare performance (directly) and economic performance (indirectly). The results also shows the practical applicability of LOD to estimate this impact.
Year
DOI
Venue
2013
10.1007/978-3-642-41338-4_16
International Semantic Web Conference
Field
DocType
Volume
Health care,Open data,Data mining,Structural equation modeling,Citation impact,Computer science,Linked data,Factorial analysis,Latent variable,European union
Conference
8219
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Amrapali Zaveri136824.37
Joao Ricardo Nickenig Vissoci200.34
Cinzia Daraio300.68
Ricardo Pietrobon418118.21