Title: University educated users' data quality preferences in web portals
Authors: Carmen Moraga; Mª Ángeles Moraga; Angélica Caro; Rodrigo Romo Muñoz; Coral Calero
Addresses: Alarcos Research Group-Instituto de Tecnologías y Sistemas de Información, University of Castilla-La Mancha, Paseo de la Universidad 4, Ciudad Real, Spain ' Alarcos Research Group-Instituto de Tecnologías y Sistemas de Información, University of Castilla-La Mancha, Paseo de la Universidad 4, Ciudad Real, Spain ' Department of Computer Science and Information Technologies, University of Bio Bio, Chillán, Avda. Andrés Bello s/n, Casilla 447, Chillán, Chile ' Department of Business Management, University of Bio Bio, Chillán, Avda. Andrés Bello s/n, Casilla 447, Chillán, Chile ' Alarcos Research Group-Instituto de Tecnologías y Sistemas de Información, University of Castilla-La Mancha, Paseo de la Universidad 4, Ciudad Real, Spain
Abstract: Web portals are currently being used on an ever-increasing basis as a source of data to assist in users' daily tasks. However, not all web portals offer data with the same level of quality. It is therefore fundamental to identify which quality characteristics affect the data. Moreover, data quality needs depend on the type of user, and the importance that different users place on each data quality characteristic is therefore different. Bearing this in mind, we first present a data quality model for web portals which identifies four categories: intrinsic, contextual, representational and operational. In this paper, we focus on studying the intrinsic and contextual categories from the perspective of users with university studies. More specifically, we establish the preferences of users with regard to the data quality characteristics studied, and discover whether any differences exist according to their gender and age range.
Keywords: data quality characteristics; web portals; statistical methods; information quality; university educated users; data quality preferences; gender; age range.
International Journal of Information Quality, 2013 Vol.3 No.2, pp.107 - 126
Received: 15 May 2012
Accepted: 10 Sep 2012
Published online: 26 Jul 2014 *