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Critical remarks on the Italian research assessment exercise VQR 2011–2014

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  • Franceschini, Fiorenzo
  • Maisano, Domenico

Abstract

For nearly a decade, several national exercises have been implemented for assessing the Italian research performance, from the viewpoint of universities and other research institutions. The penultimate one – i.e., the VQR 2004–2010, which adopted a hybrid evaluation approach based on bibliometric analysis and peer review – suffered heavy criticism at a national and international level.

Suggested Citation

  • Franceschini, Fiorenzo & Maisano, Domenico, 2017. "Critical remarks on the Italian research assessment exercise VQR 2011–2014," Journal of Informetrics, Elsevier, vol. 11(2), pages 337-357.
    • Handle: RePEc:eee:infome:v:11:y:2017:i:2:p:337-357
    DOI: 10.1016/j.joi.2017.02.005
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    References listed on IDEAS

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    1. Graziella Bertocchi & Alfonso Gambardella & Tullio Jappelli & Carmela Anna Nappi & Franco Peracchi, 2016. "Comment to: Do they agree? Bibliometric evaluation versus informed peer review in the Italian research assessment exercise," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 349-353, July.
    2. Bornmann, Lutz & Leydesdorff, Loet & Mutz, Rüdiger, 2013. "The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits," Journal of Informetrics, Elsevier, vol. 7(1), pages 158-165.
    3. George A. Lozano & Vincent Larivière & Yves Gingras, 2012. "The weakening relationship between the impact factor and papers' citations in the digital age," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2140-2145, November.
    4. Didegah, Fereshteh & Thelwall, Mike, 2013. "Which factors help authors produce the highest impact research? Collaboration, journal and document properties," Journal of Informetrics, Elsevier, vol. 7(4), pages 861-873.
    5. Henk F Moed, 2007. "The future of research evaluation rests with an intelligent combination of advanced metrics and transparent peer review," Science and Public Policy, Oxford University Press, vol. 34(8), pages 575-583, October.
    6. Alessio Ancaiani & Alberto F. Anfossi & Anna Barbara & Sergio Benedetto & Brigida Blasi & Valentina Carletti & Tindaro Cicero & Alberto Ciolfi & Filippo Costa & Giovanna Colizza & Marco Costantini & F, 2015. "Evaluating scientific research in Italy: The 2004–10 research evaluation exercise," Research Evaluation, Oxford University Press, vol. 24(3), pages 242-255.
    7. Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2013. "Evaluating research institutions: the potential of the success-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 85-101, July.
    8. Giovanni Abramo & Ciriaco Andrea D'Angelo, 2015. "The VQR, Italy's second national research assessment: Methodological failures and ranking distortions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2202-2214, November.
    9. Alberto Baccini & Giuseppe De Nicolao, 2016. "Do they agree? Bibliometric evaluation versus informed peer review in the Italian research assessment exercise," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1651-1671, September.
    10. Hicks, Diana, 2012. "Performance-based university research funding systems," Research Policy, Elsevier, vol. 41(2), pages 251-261.
    11. Bornmann, Lutz, 2014. "Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics," Journal of Informetrics, Elsevier, vol. 8(4), pages 895-903.
    12. Franceschini, Fiorenzo & Maisano, Domenico, 2014. "Sub-field normalization of the IEEE scientific journals based on their connection with Technical Societies," Journal of Informetrics, Elsevier, vol. 8(3), pages 508-533.
    13. Alberto Baccini & Giuseppe Nicolao, 2016. "Reply to the comment of Bertocchi et al," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1675-1684, September.
    14. Geuna, Aldo & Piolatto, Matteo, 2016. "Research assessment in the UK and Italy: Costly and difficult, but probably worth it (at least for a while)," Research Policy, Elsevier, vol. 45(1), pages 260-271.
    15. Wang, Jian, 2014. "Unpacking the Matthew effect in citations," Journal of Informetrics, Elsevier, vol. 8(2), pages 329-339.
    16. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano, 2007. "Management by Measurement," Springer Books, Springer, number 978-3-540-73212-9, September.
    17. Bornmann, Lutz & Haunschild, Robin, 2016. "Citation score normalized by cited references (CSNCR): The introduction of a new citation impact indicator," Journal of Informetrics, Elsevier, vol. 10(3), pages 875-887.
    18. Rodrigo Costas & Zohreh Zahedi & Paul Wouters, 2015. "Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2003-2019, October.
    19. 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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    5. Camil Demetrescu & Andrea Ribichini & Marco Schaerf, 2018. "Accuracy of author names in bibliographic data sources: an Italian case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1777-1791, December.
    6. Cappelletti-Montano, Beniamino & Columbu, Silvia & Montaldo, Stefano & Musio, Monica, 2022. "Interpreting the outcomes of research assessments: A geometrical approach," Journal of Informetrics, Elsevier, vol. 16(1).
    7. Domenico A. Maisano & Luca Mastrogiacomo & Fiorenzo Franceschini, 2023. "Empirical evidence on the relationship between research and teaching in academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4475-4507, August.
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    9. Domenico A. Maisano & Luca Mastrogiacomo & Fiorenzo Franceschini, 2020. "Short-term effects of non-competitive funding to single academic researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1261-1280, June.
    10. Migheli, Matteo & Zotti, Roberto, 2020. "The strange case of the Matthew effect and beauty contests: Research evaluation and specialisation in Italian universities," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    11. Camil Demetrescu & Andrea Ribichini & Marco Schaerf, 2020. "Are Italian research assessment exercises size-biased?," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 533-549, October.
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    14. Demetrescu, Camil & Lupia, Francesco & Mendicelli, Angelo & Ribichini, Andrea & Scarcello, Francesco & Schaerf, Marco, 2019. "On the Shapley value and its application to the Italian VQR research assessment exercise," Journal of Informetrics, Elsevier, vol. 13(1), pages 87-104.

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