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A CERIF data model extension for evaluation and quantitative expression of scientific research results

Author

Listed:
  • Dragan Ivanović

    (University of Novi Sad)

  • Dušan Surla

    (University of Novi Sad)

  • Miloš Racković

    (University of Novi Sad)

Abstract

This paper presents a proposal of CERIF data model extension for evaluation of scientific research results. The data model extension is based on the CERIF semantic layer which enables classification of entities and relations between entities according to some classification scheme. The proposed data model was created using PowerDesigner CASE tool. The model is represented using a physical data model in the conceptual notation that is adopted in literature for representing the CERIF data model. This model is verified using the rule book for evaluation and quantitative expression of scientific research results of researchers employed at University of Novi Sad.

Suggested Citation

  • Dragan Ivanović & Dušan Surla & Miloš Racković, 2011. "A CERIF data model extension for evaluation and quantitative expression of scientific research results," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 155-172, January.
  • Handle: RePEc:spr:scient:v:86:y:2011:i:1:d:10.1007_s11192-010-0228-2
    DOI: 10.1007/s11192-010-0228-2
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    References listed on IDEAS

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    2. Miloš Savić & Mirjana Ivanović & Bojana Dimić Surla, 2017. "Analysis of intra-institutional research collaboration: a case of a Serbian faculty of sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 195-216, January.

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