The complexity and variety of bibliographic data is growing, and efforts to define new methodologies and techniques for bibliometric analysis are intensifying. In this complex scenario, one of the most crucial issues is the quality of data and the capability of bibliometric analysis to cope with multiple data dimensions. Although the problem of enforcing a multidimensional approach to the analysis and management of bibliographic data is not new, a reference design pattern and a specific conceptual model for multidimensional analysis of bibliographic data are still missing. In this paper, we discuss ten of the most relevant challenges for bibliometric analysis when dealing with multidimensional data, and we propose a reference data model that, according to different goals, can help analysis designers and bibliographic experts in working with large collections of bibliographic data

Ten challenges in modeling bibliographic data for bibliometric analysis / A. Ferrara, S. Salini. - In: SCIENTOMETRICS. - ISSN 0138-9130. - 93:3(2012), pp. 765-785. [10.1007/s11192-012-0810-x]

Ten challenges in modeling bibliographic data for bibliometric analysis

A. Ferrara
Primo
;
S. Salini
Ultimo
2012

Abstract

The complexity and variety of bibliographic data is growing, and efforts to define new methodologies and techniques for bibliometric analysis are intensifying. In this complex scenario, one of the most crucial issues is the quality of data and the capability of bibliometric analysis to cope with multiple data dimensions. Although the problem of enforcing a multidimensional approach to the analysis and management of bibliographic data is not new, a reference design pattern and a specific conceptual model for multidimensional analysis of bibliographic data are still missing. In this paper, we discuss ten of the most relevant challenges for bibliometric analysis when dealing with multidimensional data, and we propose a reference data model that, according to different goals, can help analysis designers and bibliographic experts in working with large collections of bibliographic data
Dimensional data modeling; Multidimensional data analysis; Multivariate statistics; Topics models
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Settore SECS-S/01 - Statistica
Settore INF/01 - Informatica
2012
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/175761
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