Defining a Data Quality Model for Web Portals

Caro, Ángélica; Calero, Coral; Caballero, Ismael; Piattini, Mario

doi:10.1007/11912873_38

Cited by 18 publications

(19 citation statements)

References 12 publications

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“…First, as a pilot study, we used a survey previously developed for a subset of DQ attributes, specifically for the attributes classified for the Web portal function ''Data Points and Integration'' (In this pilot survey the subjects were contacted by e-mail, and a total of 69 effective responses were received; more details of this work are available in (Caro et al 2006)). The purpose of this was to use this experience to prepare a better questionnaire.…”

Section: Validating the Instrumentmentioning

confidence: 99%

A proposal for a set of attributes relevant for Web portal data quality

et al. 2008

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Data Quality is a critical issue in today's interconnected society. Advances in technology are making the use of the Internet an ever-growing phenomenon and we are witnessing the creation of a great variety of applications such as Web Portals. These applications are important data sources and/or means of accessing information which many people use to make decisions or to carry out tasks. Quality is a very important factor in any software product and also in data. As quality is a wide concept, quality models are usually used to assess the quality of a software product. From the software point of view there is a widely accepted standard proposed by ISO/IEC (the ISO/IEC 9126) which proposes a quality model for software products. However, until now a similar proposal for data quality has not existed. Although we have found some proposals of data quality models, some of them working as ''de facto'' standards, none of them focus specifically on web portal data quality and the user's perspective. In this paper, we propose a set of 33 attributes which are relevant for portal data quality. These have been obtained from a revision of literature and a validation process carried out by means of a survey. Although these attributes do not conform to a usable model, we think that it might be considered as a good starting point for constructing one.

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Section: Validating the Instrumentmentioning

confidence: 99%

A proposal for a set of attributes relevant for Web portal data quality

et al. 2008

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“…For this assignment we used as a basis the appropriateness of each attribute (based on its definition), in relation to the objective of each portal functionality and the user's DQ expectation. As a result of this phase, we obtained a set of 34 DQ attributes through which to evaluate the DQ in Web portals [4]. Figure 1 shows the matrix and an example of the classification of DQ attributes.…”

Section: Introductionmentioning

confidence: 99%

“…We detected certain synonymous amongst the attributes identified. Those attributes were combined along with those which had similar names and meanings, thus obtaining a final set of 41 attributes [4]. (2) In the second phase, we created a matrix with which to classify the DQ attributes obtained in the previous phase.…”

Section: Introductionmentioning

confidence: 99%

“…The PoDQA development is part of a greater project on data quality, in which the research focus is to work towards the generation of a generic, adequate, flexible and complete data quality model for Web portals. This project has been introduced in [4] and [5], where the development of PDQM (a data quality model for Web portals) is described. PDQM is centered on the point of view of data consumers and uses a probabilistic approach (based on Bayesian networks) for data quality evaluation.…”

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An Applicable Data Quality Model for Web Portal Data Consumers

2008

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Web portals have emerged as an important means by which to access data on the worldwide. The people that use these applications need to ensure that the data recovered is suitable for the task at hand. That is, they need to know the level of quality of the data obtained. This paper introduces the PoDQA (Portal Data Quality Assessment) tool which implements PDQM, a Portal Data Quality Model, which is centered upon the data consumer perspective. Thus, the measurement of data quality is carried out by using the point of view of data consumers. Our work aims to fill the lack of specific proposals for the DQ evaluation in Web portals and tools that put these proposals into practice. The paper illustrate how PoDQA tool works and how it can be used by data consumers in order to, for example, discover the data quality of a specific web portal. PoDQA also suggests several corrective maintenance activities for users who are interested in the improvement of the data quality of their Web portals.

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“…This SLR is based on a previous SLR [2], which covered the years 1996 to 2005, and in which 33 attributes considered to be relevant for Web portal data quality were chosen. These attributes were then used to define a quality model for the assessment of Web portal data quality, namely PDQM (Portal Data Quality Model), in [3]. The SLR which is presented here covers 2006 to the end of 2008.…”

Section: Introductionmentioning

confidence: 99%

Towards the Discovery of Data Quality Attributes for Web Portals

Moraga

Calero

et al. 2009

Lecture Notes in Computer Science

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Abstract. The Internet has become in a place for the exchange and publication of data. Nowadays, Web portals serve as an important means to access information. In this context, the concepts of quality in general and of data quality in particular are highly relevant. The objective of this paper is to carry out a systematic literature review (SLR) in order to discover the state-of-the art in data quality for Web portals, and to evaluate the evolution of data quality since 2006, when another SLR was carried out, and in which a PDQM (Portal Data Quality Model) was defined. As a result, 39 attributes have been considered relevant for the assessment of data quality in Web portals.

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Defining a Data Quality Model for Web Portals

Cited by 18 publications

References 12 publications

A proposal for a set of attributes relevant for Web portal data quality

A proposal for a set of attributes relevant for Web portal data quality

An Applicable Data Quality Model for Web Portal Data Consumers

Towards the Discovery of Data Quality Attributes for Web Portals

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