Abstract The importance of open bibliographic repositories is widely accepted by the scientific community. For evaluation processes, however, there is still some skepticism: Even if large repositories of open access articles and free publication indexes exist and are continuously growing, assessment procedures still rely on proprietary databases, mainly due to the richness of the data available in these proprietary databases and the services provided by the companies they are offered by. This paper investigates the status of open bibliographic data of three of the most used open resources, namely Microsoft Academic Graph, Crossref, and OpenAIRE, evaluating their potentialities as substitutes of proprietary databases for academic evaluation processes. We focused on the Italian National Scientific Qualification (NSQ), the Italian process for university professor qualification, which uses data from commercial indexes, and investigated similarities and differences between research areas, disciplines, and application roles. The main conclusion is that open data sets are ready to be used for some disciplines, among them mathematics, natural sciences, economics, and statistics, even if there is still room for improvement; but there is still a large gap to fill in others—such as history, philosophy, pedagogy, and psychology—and greater effort is required from researchers and institutions.

Open bibliographic data and the Italian National Scientific Qualification: Measuring coverage of academic fields / Bologna, Federica; Di Iorio, Angelo; Peroni, Silvio; Poggi, Francesco. - In: QUANTITATIVE SCIENCE STUDIES. - ISSN 2641-3337. - ELETTRONICO. - 3:3(2022), pp. 512-528. [10.1162/qss_a_00203]

Open bibliographic data and the Italian National Scientific Qualification: Measuring coverage of academic fields

Di Iorio, Angelo;Peroni, Silvio;Poggi, Francesco
2022

Abstract

Abstract The importance of open bibliographic repositories is widely accepted by the scientific community. For evaluation processes, however, there is still some skepticism: Even if large repositories of open access articles and free publication indexes exist and are continuously growing, assessment procedures still rely on proprietary databases, mainly due to the richness of the data available in these proprietary databases and the services provided by the companies they are offered by. This paper investigates the status of open bibliographic data of three of the most used open resources, namely Microsoft Academic Graph, Crossref, and OpenAIRE, evaluating their potentialities as substitutes of proprietary databases for academic evaluation processes. We focused on the Italian National Scientific Qualification (NSQ), the Italian process for university professor qualification, which uses data from commercial indexes, and investigated similarities and differences between research areas, disciplines, and application roles. The main conclusion is that open data sets are ready to be used for some disciplines, among them mathematics, natural sciences, economics, and statistics, even if there is still room for improvement; but there is still a large gap to fill in others—such as history, philosophy, pedagogy, and psychology—and greater effort is required from researchers and institutions.
2022
Open bibliographic data and the Italian National Scientific Qualification: Measuring coverage of academic fields / Bologna, Federica; Di Iorio, Angelo; Peroni, Silvio; Poggi, Francesco. - In: QUANTITATIVE SCIENCE STUDIES. - ISSN 2641-3337. - ELETTRONICO. - 3:3(2022), pp. 512-528. [10.1162/qss_a_00203]
Bologna, Federica; Di Iorio, Angelo; Peroni, Silvio; Poggi, Francesco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/902680
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