Authors: Laure Berti-Équille; Isabelle Comyn-Wattiau; Mireille Cosquer; Zoubida Kedad; Sylvaine Nugier; Verónika Peralta; Samira Si-Saïd Cherfi; Virginie Thion-Goasdoué
Addresses: CEREGE-IRD, Europôle Méditerranéen de l'Arbois, Av. L. Philibert, BP 80, 13545 Aix-En-Provence, France. ' CEDRIC, Conservatoire National des Arts et Métiers (CNAM) et ESSEC Business School, 292 Rue Saint Martin, 75141 Paris Cedex 03, Paris, France. ' Service d'Information Médicale, Institut Curie, 26, Rue des Fossés Saint-Jacques, 75005 Paris, France. ' Laboratoire PRiSM, Université de Versailles Saint-Quentin-en-Yvelines, 45 Avenue des Etats-Unis, 78035 Versailles Cedex, France. ' EDF – R&D, Département STEP, 6 Quai Watier, BP 49, 78401 Chatou Cedex, France. ' Antenne Universitaire de Blois, 3 Place Jean Jaurès, 41000 Blois, France. ' CEDRIC, Conservatoire National des Arts et Métiers (CNAM), 292 Rue Saint Martin, 75141 Paris Cedex 03, Paris, France. ' CEDRIC, Conservatoire National des Arts et Métiers (CNAM), 292 Rue Saint Martin, 75141 Paris Cedex 03, Paris, France
Abstract: Information quality is a complex and multidimensional notion. In the context of information system engineering, it is also a transversal notion and to be fully understood, it needs to be evaluated jointly considering the quality of data, the quality of the underlying conceptual data model and the quality of the software system that manages these data. This paper presents a multidimensional model for exploring information in a multidimensional way, which aids in the navigation, filtering, and interpretation of quality measures, and thus in the identification of the most appropriate actions to improve information quality. Two application scenarios are presented to illustrate and validate the multidimensional approach: the first one concerns the quality of customer information at Electricité de France, a French electricity company, and the second concerns the quality of patient records at Institut Curie, a well-known medical institute in France. The instantiation of our multidimensional model in these contexts shows first illustrations of its applicability.
Keywords: information quality; model quality; data quality; quality analysis; quality measures; customer information; patient records; patient information.
International Journal of Information Quality, 2011 Vol.2 No.4, pp.300 - 323
Accepted: 01 Jan 2011
Published online: 21 Nov 2011 *