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Using Linked Data to Evaluate the Impact of Research and Development in Europe: A Structural Equation Model

  • Amrapali Zaveri
  • Joao Ricardo Nickenig Vissoci
  • Cinzia Daraio
  • Ricardo Pietrobon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8219)

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.

Keywords

European Union Latent Variable Structural Equation Modeling Health Expenditure Link Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Amrapali Zaveri
    • 1
  • Joao Ricardo Nickenig Vissoci
    • 2
    • 4
  • Cinzia Daraio
    • 3
  • Ricardo Pietrobon
    • 4
  1. 1.Institute of Computer Science, AKSW GroupUniversity of LeipzigLeipzigGermany
  2. 2.Medicine DepartmentFaculdade IngáMaringáBrazil
  3. 3.Department of Computer, Control and Management EngineeringUniversity of Rome ”La Sapienza”RomaItaly
  4. 4.Duke University Medical CenterDurhamUSA

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