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Data Integration for Research and Innovation Policy: An Ontology-based Data Management Approach

Author

Listed:
  • Cinzia Daraio

    (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy)

  • Maurizio Lenzerini

    (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy)

  • Claudio Leporelli

    (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy)

  • Henk F. Moed

    (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy)

  • Paolo Naggar

    (Studiare Ltd., Rome, Italy)

  • Andrea Bonaccorsi

    (DISTEC, University of Pisa, Italy)

  • Alessandro Bartolucci

    (Studiare Ltd., Rome, Italy)

Abstract

The main objective of this paper is to propose an Ontology-based Data Management (OBDM) approach to coordinate, integrate and maintain the data needed for Science, Technology and Innovation (STI) policy development. The OBDM approach we propose is a form of integration of information in which the global schema of data is substituted by the conceptual model of the domain, formally specified through an ontology. Our approach, implemented in the Sapientia ontology (Sapientia: the Ontology of Multi- Dimensional Research Assessment) offers a transparent platform on which to base the evaluation process; permits to define and specify in an unambiguous way the indicators on which the evaluation is based on; allows us to track their evolution over time; makes it possible the analysis of the feedbacks of the indicators on the behavior of scholars and allows us to find out opportunistic behaviors; provides a monitoring system to track over time the changes in the established evaluation criteria and their consequences on the research system. We claim that an higher availability and a more transparent view on the scholarly outcomes may improve the understanding of basic science from the broad society and can improve the communication of the research outcome to the public opinion, which, in the present economic phase, has an increasingly money-for-value approach about the funding of science.A lot of work on these issues has still to be carried out. Nevertheless we believe that a new line of research based on an OBDM approach could successfully contribute to solve some of the key issues in the integration of heterogeneous data for STI policies.

Suggested Citation

  • Cinzia Daraio & Maurizio Lenzerini & Claudio Leporelli & Henk F. Moed & Paolo Naggar & Andrea Bonaccorsi & Alessandro Bartolucci, 2015. "Data Integration for Research and Innovation Policy: An Ontology-based Data Management Approach," DIAG Technical Reports 2015-10, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    • Handle: RePEc:aeg:report:2015-10
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    References listed on IDEAS

    as
    1. Nicholas Georgescu-Roegen, 1979. "Methods in Economic Science," Journal of Economic Issues, Taylor & Francis Journals, vol. 13(2), pages 317-328, June.
    2. Hamid Ekbia & Michael Mattioli & Inna Kouper & G. Arave & Ali Ghazinejad & Timothy Bowman & Venkata Ratandeep Suri & Andrew Tsou & Scott Weingart & Cassidy R. Sugimoto, 2015. "Big data, bigger dilemmas: A critical review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(8), pages 1523-1545, August.
    3. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Rankings and university performance: A conditional multidimensional approach," European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
    4. Georgescu-Roegen, Nicholas, 1970. "The Economics of Production," American Economic Review, American Economic Association, vol. 60(2), pages 1-9, May.
    5. Henk F. Moed & Gali Halevi, 2015. "Multidimensional assessment of scholarly research impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 1988-2002, October.
    6. Blaise Cronin, 2013. "Thinking about data," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(3), pages 435-436, March.
    7. Nicholas Georgescu-Roegen, 1972. "Process Analysis and the Neoclassical Theory of Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(2), pages 279-294.
    8. Blaise Cronin, 2013. "Thinking about data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(3), pages 435-436, March.
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    Keywords

    research assessment ; science of science policy ; data integration ; ontology-based data management;
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