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Peer review for the evaluation of academic research: lessons from the Italian experience

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  • Emanuela Reale
  • Anna Barbara
  • Antonio Costantini

Abstract

The aim of the paper is to control the reliability of peer review when evaluating academic research in the Three-Year Research Assessment Exercise developed in Italy. Our analysis covers four disciplinary sectors: chemistry, biology, humanities and economics. The results provide evidence that highlights strengths and weaknesses of peer review for judging the quality of the academic research in different fields of science, vis-à-vis bibliometric indicators. Moreover, some basic features of the evaluation process are discussed, to understand their usefulness for reinforcing the effectiveness of the peers' final outcome. Copyright , Beech Tree Publishing.

Suggested Citation

  • Emanuela Reale & Anna Barbara & Antonio Costantini, 2007. "Peer review for the evaluation of academic research: lessons from the Italian experience," Research Evaluation, Oxford University Press, vol. 16(3), pages 216-228, September.
    • Handle: RePEc:oup:rseval:v:16:y:2007:i:3:p:216-228
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    File URL: http://hdl.handle.net/10.3152/095820207X227501
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    Cited by:

    1. Emanuel Kulczycki & Ewa A. Rozkosz, 2017. "Does an expert-based evaluation allow us to go beyond the Impact Factor? Experiences from building a ranking of national journals in Poland," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 417-442, April.
    2. Eliseo Reategui & Alause Pires & Michel Carniato & Sergio Roberto Kieling Franco, 2020. "Evaluation of Brazilian research output in education: confronting international and national contexts," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 427-444, October.
    3. Thelwall, Mike & Fairclough, Ruth, 2015. "The influence of time and discipline on the magnitude of correlations between citation counts and quality scores," Journal of Informetrics, Elsevier, vol. 9(3), pages 529-541.
    4. Secondo Rolfo & Ugo Finardi, 2014. "University Third mission in Italy: organization, faculty attitude and academic specialization," The Journal of Technology Transfer, Springer, vol. 39(3), pages 472-486, June.
    5. Tombazos, Christis G. & Dobra, Matthew, 2014. "Formulating research policy on expert advice," European Economic Review, Elsevier, vol. 72(C), pages 166-181.
    6. Vieira, Elizabeth S. & Cabral, José A.S. & Gomes, José A.N.F., 2014. "How good is a model based on bibliometric indicators in predicting the final decisions made by peers?," Journal of Informetrics, Elsevier, vol. 8(2), pages 390-405.
    7. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    8. Ehsan Mohammadi & Mike Thelwall, 2013. "Assessing non-standard article impact using F1000 labels," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 383-395, November.
    9. Franceschet, Massimo & Costantini, Antonio, 2011. "The first Italian research assessment exercise: A bibliometric perspective," Journal of Informetrics, Elsevier, vol. 5(2), pages 275-291.
    10. Franceschet, Massimo & Costantini, Antonio, 2010. "The effect of scholar collaboration on impact and quality of academic papers," Journal of Informetrics, Elsevier, vol. 4(4), pages 540-553.
    11. Giovanni Abramo & Ciriaco Andrea D’Angelo & Emanuela Reale, 2019. "Peer review versus bibliometrics: Which method better predicts the scholarly impact of publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 537-554, October.
    12. Maria Rosaria Carillo & Erasmo Papagni & Alessandro Sapio, 2012. "Do collaborations enhance the high-quality output of scientific institutions? Evidence from the Italian Research Assessment Exercise (2001-2003)," Discussion Papers 4_2012, CRISEI, University of Naples "Parthenope", Italy.
    13. Rebora, Gianfranco & Turri, Matteo, 2013. "The UK and Italian research assessment exercises face to face," Research Policy, Elsevier, vol. 42(9), pages 1657-1666.
    14. Jacques Wainer & Paula Vieira, 2013. "Correlations between bibliometrics and peer evaluation for all disciplines: the evaluation of Brazilian scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 395-410, August.
    15. Li, Jiang & Sanderson, Mark & Willett, Peter & Norris, Michael & Oppenheim, Charles, 2010. "Ranking of library and information science researchers: Comparison of data sources for correlating citation data, and expert judgments," Journal of Informetrics, Elsevier, vol. 4(4), pages 554-563.
    16. Alberto Anfossi & Alberto Ciolfi & Filippo Costa & Giorgio Parisi & Sergio Benedetto, 2016. "Large-scale assessment of research outputs through a weighted combination of bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 671-683, May.

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