Journal title RIV Rassegna Italiana di Valutazione
Author/s Lorenzo Barbanera, Federica Floridi, Federica Fusillo
Publishing Year 2018 Issue 2017/68 Language Italian
Pages 17 P. 103-119 File size 354 KB
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Moving from some critical issues that characterized the management of the product-reviewer matching in the VQR 2011-2014 this article proposes an operational solution that allows improving the consistency of the attribution process, by bringing the gap between the reviewer’s skills and the evaluand. This is achieved through the use of text analysis techniques applied to big corpora, made by the publications/abstracts of the actors involved. The paper is structured as follows: an introduction about the use of Big Data in the context of the Italian university system evaluation; then, the main problems faced in the last VQR exercise will be presented; finally, a textual analysis procedure, designed to provide univocal labels, both for the products under review and for those belonging to referees, will be presented in the last paragraph.
Keywords: Big Corpora; Big Data; Evaluation of Quality Research; Content Analysis; Textual Analysis; Peer Review.
Lorenzo Barbanera, Federica Floridi, Federica Fusillo, Per i Big Data nella ricerca valutativa: una proposta operativa per la gestione del matching prodotto-revisore nella VQR in "RIV Rassegna Italiana di Valutazione" 68/2017, pp 103-119, DOI: 10.3280/RIV2017-068007