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Data integration for research and innovation policy: an Ontology-Based Data Management approach

Author

Listed:
  • Cinzia Daraio

    (Sapienza University of Rome)

  • Maurizio Lenzerini

    (Sapienza University of Rome)

  • Claudio Leporelli

    (Sapienza University of Rome)

  • Henk F. Moed

    (Sapienza University of Rome)

  • Paolo Naggar

    (Studiare Ltd.)

  • Andrea Bonaccorsi

    (University of Pisa)

  • Alessandro Bartolucci

    (Studiare Ltd.)

Abstract

This paper proposes 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 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. Implemented in Sapientia, the ontology of multi-dimensional research assessment, it offers a transparent platform as the base for the assessment process; it enables one to define and specify in an unambiguous way the indicators on which the evaluation is based, and to track their evolution over time; also it allows to the analysis of the effects of the actual use of the indicators on the behavior of scholars, and spot opportunistic behaviors; and it provides a monitoring system to track over time the changes in the established evaluation criteria and their consequences for the research system. It is argued that easier access to and a more transparent view of scientific-scholarly outcomes help to improve the understanding of basic science and the communication of research outcomes to the wider public. 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, 2016. "Data integration for research and innovation policy: an Ontology-Based Data Management approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 857-871, February.
    • Handle: RePEc:spr:scient:v:106:y:2016:i:2:d:10.1007_s11192-015-1814-0
    DOI: 10.1007/s11192-015-1814-0
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    References listed on IDEAS

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    Cited by:

    1. Cinzia Daraio & Simone Leo & Monica Scannapieco, 2022. "Accounting for quality in data integration systems: a completeness-aware integration approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1465-1490, March.
    2. Diana Maynard & Benedetto Lepori & Johann Petrak & Xingyi Song & Philippe Laredo, 2020. "Using ontologies to map between research data and policymakers’ presumptions: the experience of the KNOWMAK project," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1275-1290, November.
    3. Besim Bilalli & Rana Faisal Munir & Alberto Abelló, 2021. "A framework for assessing the peer review duration of journals: case study in computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 545-563, January.
    4. Rousseau, Sandra & Catalano, Giuseppe & Daraio, Cinzia, 2021. "Can we estimate a monetary value of scientific publications?," Research Policy, Elsevier, vol. 50(1).
    5. Cinzia Daraio, 2017. "A framework for the Assessment of Research and its impacts," DIAG Technical Reports 2017-04, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    6. Marco Angelini & Cinzia Daraio & Maurizio Lenzerini & Francesco Leotta & Giuseppe Santucci, 2020. "Performance model’s development: a novel approach encompassing ontology-based data access and visual analytics," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 865-892, November.
    7. Marco Angelini & Cinzia Daraio & Maurizio Lenzerini & Francesco Leotta & Giuseppe Santucci, 2019. "Performance Model’s development: A Novel Approach encompassing Ontology-Based Data Access and Visual Analytics," DIAG Technical Reports 2019-11, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".

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