2017 - Franco Angeli
Artikel
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Per i Big Data nella ricerca valutativa : una proposta operativa per la gestione del matching prodotto-revisore nella VQR.
103-119 p.
- 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. [Publishers' text].
Ist Teil von
RIV : rassegna italiana di valutazione : 68, 2, 2017-
Informationen
ISSN: 1972-5027
KEYWORDS
- Big Corpora, Big Data, Evaluation of Quality Research, Content Analysis, Textual Analysis, Peer Review
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In derselben Datei
- Editoriale
- Big Data e Valutazione : una relazione ancora da costruire
- Big Data and evaluation : background, benefits and challenges
- Types of Big Data and designs of evaluation research
- Osservare tanti dati : il ruolo della visualizzazione dei Big Data nella ricerca valutativa
- Big Data and the evaluation of policies
- Per i Big Data nella ricerca valutativa : una proposta operativa per la gestione del matching prodotto-revisore nella VQR.
- Abstract
