Abstract
Advances in technology and the use of the Internet have favoured the appearance of a great variety of Web applications, among them Web Portals. These applications are important information sources and/or means of accessing information. Many people need to obtain information by means of these applications and they need to ensure that this information is suitable for the use they want to give it. In other words, they need to assess the quality of the data.
In recent years, several research projects were conducted on topic of Web Data Quality. However, there is still a lack of specific proposals for the data quality of portals. In this paper we introduce a model for the data quality in Web portals (PDQM). PDQM has been built upon the foundation of three key aspects: a set of Web data quality attributes identified in the literature in this area, data quality expectations of data consumers on the Internet, and the functionalities that a Web portal may offer to its users.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Aboelmeged, M.: A Soft System Perspective on Information Quality in Electronic Commerce. In: Proceedings of the Fifth Conference on Information Quality (2000)
Bouzeghoub, M., Kedad, Z.: Quality in Data Warehousing, in Information and Database Quality. In: Piattini, M., Calero, C., Genero, M. (eds.) Information and Database Quality. Kluwer Academic Publishers, Dordrecht (2001)
Bouzeghoub, M., Peralta, V.: A Framework for Analysis of data Freshness. In: International Workshop on Information Quality in Information Systems (IQIS 2004), Paris, France (2004)
Burgess, M., Fiddian, N., Gray, W.: Quality Measures and The Information Consumer. In: Proceedings of the 9th International Conference on Information Quality (2004)
Cappiello, C., Francalanci, C., Pernici, B.: Data quality assessment from the user’s perspective. In: International Workshop on Information Quality in Information Systems (IQIS 2004), Paris, Francia (2004)
Caro, A., Calero, C., Caballero, I., Piattini, M.: Data quality in web applications: A state of the art. In: IADIS International Conference WWW/Internet 2005, Lisboa-Portugal (2005)
Collins, H.: Corporate Portal Definition and Features: AMACOM (2001)
Eppler, M., Algesheimer, R., Dimpfel, M.: Quality Criteria of Content-Driven Websites and Their Influence on Customer Satisfaction and Loyalty: An Empirical Test of an Information Quality Framework. In: Proceeding of the Eighth International Conference on Information Quality (2003)
Fugini, M., Mecella, M., Plebani, P., Pernici, B., Scannapieco, M.: Data Quality in Cooperative Web Information Systems (2002)
Gertz, M., Ozsu, T., Saake, G., Sattler, K.-U.: Report on the Dagstuhl Seminar Data Quality on the Web. SIGMOD Record 33(1), 127–132 (2004)
Graefe, G.: Incredible Information on the Internet: Biased Information Provision and a Lack of Credibility as a Cause of Insufficient Information Quality. In: Proceeding of the Eighth International Conference on Information Quality (2003)
Huang, K.-T., Lee, Y., Wang, R.: Quality information and knowledge. Prentice Hall, Englewood Cliffs (1999)
Katerattanakul, P., Siau, K.: Information quality in internet commerce desing. In: Piattini, M., Calero, C., Genero, M. (eds.) Information and Database Quality. Kluwer Academic Publishers, Dordrecht (2001)
Katerattanakul, P., Siau, K.: Measuring Information Quality of Web Sites: Development of an Instrument. In: Proceeding of the 20th International Conference on Information System (1999)
Kitchenham, B.: Procedures for Performing Systematic Reviews, 0400011T.1 (2004)
Kitchenham, B., Pfleeger, S.L.: Principles of survey research: part 3: constructing a survey instrument. SIGSOFT Softw. Eng. Notes 27, 20–24 (2002)
Kopcso, D., Pipino, L., Rybolt, W.: The Assesment of Web Site Quality. In: Proceeding of the Fifth International Conference on Information Quality (2000)
Lee, Y.: AIMQ: a methodology for information quality assessment, Information and Management, pp. 133–146. Elsevier Science, Amsterdam (2002)
Mahdavi, M., Shepherd, J., Benatallah, B.: A Collaborative Approach for Caching Dynamic Data in Portal Applications. In: Proceedings of the fifteenth conference on Australian database (2004)
Marchetti, C., Mecella, M., Scannapieco, M., Virgillito, A.: Enabling Data Quality Notification in Cooperative Information Systems through a Web-service based Architecture. In: Proceeding of the Fourth International Conference on Web Information Systems Engineering (2003)
Melkas, H.: Analyzing Information Quality in Virtual service Networks with Qualitative Interview Data. In: Proceeding of the Ninth International Conference on Information Quality (2004)
Moraga, M.Á., Calero, C., Piattini, M.: Comparing different quality models for portals. Online Information Review (to appear, 2006)
Moustakis, V., Litos, C., Dalivigas, A., Tsironis, L.: Website Quality Assesment Criteria. In: Proceeding of the Ninth International Conference on Information Quality (2004)
Naumann, F., Rolker, C.: Assesment Methods for Information Quality Criteria. In: Proceeding of the Fifth International Conference on Information Quality (2000)
Pressman, R.: Software Engineering: a Practitioner’s Approach, 5th edn. McGraw-Hill, New York (2001)
Redman, T.: Data Quality: The field guide. Digital Press, Boston (2000)
Strong, D., Lee, Y., Wang, R.: Data Quality in Context. Communications of the ACM 40(5), 103–110 (1997)
Wang, R.: A Product Perspective on Total data Quality Management. Communications of the ACM 41(2), 54–65 (1998)
Wang, R., Strong, D.: Accuracy: What data quality means to data consumers. Journal of Management Information Systems 12, 5–33 (Spring 1996)
Winkler, W.: Methods for evaluating and creating data quality. Information Systems 29, 531–550 (2004)
Yang, Z.a.C.S., Zhou, Z., Zhou, N.: Development and validation of an instrument to measure user perceived service quality of information presenting Web portals. Information and Management 42, 575–589 (2004)
Zhu, Y., Buchmann, A.: Evaluating and Selecting Web Sources as external Information Resources of a Data Warehouse. In: Proceeding of the 3rd International Conference on Web Information Systems Engineering (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Caro, A., Calero, C., Caballero, I., Piattini, M. (2006). Defining a Data Quality Model for Web Portals. In: Aberer, K., Peng, Z., Rundensteiner, E.A., Zhang, Y., Li, X. (eds) Web Information Systems – WISE 2006. WISE 2006. Lecture Notes in Computer Science, vol 4255. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11912873_38
Download citation
DOI: https://doi.org/10.1007/11912873_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48105-8
Online ISBN: 978-3-540-48107-2
eBook Packages: Computer ScienceComputer Science (R0)