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Towards a Data Quality Model for Web Portals

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 1))

Abstract

The technological advances and the use of the internet have favoured the appearance of a great diversity of web applications, among them Web Portals. Through them, organizations develop their businesses in a really competitive environment. A decisive factor for this competitiveness is the assurance of data quality. In the last years, several research works on Web Data Quality have been developed. However, there is a lack of specific proposals for web portals data quality. Our aim is to develop a data quality model for web portals focused -oin three aspects: data quality expectations of data consumer, the software functionality of web portals and the web data quality attributes recompiled from a literature review. In this paper, we will present the first version of our model.

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References

  • Aboelmeged, M.: A Soft System Perspective on Information Quality in Electronic Commerce. In: Proceeding of the Fifth Conference on Information Quality (2000)

    Google Scholar 

  • Bouzeghoub, M., Kedad, Z.: Quality in Data Warehousing. In: Piattini, M., Calero, C., Genero, M. (eds.) Information and Database Quality, Kluwer Academic Publishers, Boston, MA (2001)

    Google Scholar 

  • Bouzeghoub, M., Peralta, V.: A Framework for Analysis of data Freshness. In: International Workshop on Information Quality in Information Systems (IQIS2004), Paris, France, ACM, New York (2004)

    Google Scholar 

  • Burgess, M., Fiddian, N., et al.: Quality Measures and The Information Consumer. In: IQ2004 (2004)

    Google Scholar 

  • Cappiello, C., Francalanci, C., et al.: Data quality assessment from the user’s perspective. In: International Workshop on Information Quality in Information Systems (IQIS2004), Paris, Francia, ACM, New York (2004)

    Google Scholar 

  • Collins, H.: Corporate Portal Definition and Features. In: AMACOM (2001)

    Google Scholar 

  • Eppler, M., Algesheimer, R., et al.: 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)

    Google Scholar 

  • Fugini, M., Mecella, M., et al.: Data Quality in Cooperative Web Information Systems (2002)

    Google Scholar 

  • Gertz, M., Ozsu, T., et al.: Report on the Dagstuhl Seminar“Data Quality on the Web”. SIGMOD Record 33(1), 127–132 (2004)

    Article  Google Scholar 

  • 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)

    Google Scholar 

  • 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)

    Google Scholar 

  • 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)

    Google Scholar 

  • Kerr, K., Norris, T.: The Development of a Healthcare Data Quality Framework and Strategy. In: IQ2004 (2004)

    Google Scholar 

  • Kopcso, D., Pipino, L., et al.: The Assesment of Web Site Quality. In: Proceeding of the Fifth International Conference on Information Quality (2000)

    Google Scholar 

  • Lee, Y.: AIMQ: a methodology for information quality assessment. In: Information and Management, pp. 133–146. Elsevier Science, North-Holland, Amsterdam (2002)

    Google Scholar 

  • Mahdavi, M., Shepherd, J., et al.: A Collaborative Approach for Caching Dynamic Data in Portal Applications. In: Proceedings of the fifteenth conference on Australian database (2004)

    Google Scholar 

  • Marchetti, C., Mecella, M., et al.: 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)

    Google Scholar 

  • Melkas, H.: Analyzing Information Quality in Virtual service Networks with Qualitative Interview Data. In: Proceeding of the Ninth International Conference on Information Quality (2004)

    Google Scholar 

  • Moustakis, V., Litos, C., et al.: Website Quality Assesment Criteria. In: Proceeding of the Ninth International Conference on Information Quality (2004)

    Google Scholar 

  • Naumann, F., Rolker, C.: Assesment Methods for Information Quality Criteria. In: Proceeding of the Fifth International Conference on Information Quality (2000)

    Google Scholar 

  • Pernici, B., Scannapieco, M.: Data Quality in Web Information Systems. In: Proceeding of the 21st International Conference on Conceptual Modeling (2002)

    Google Scholar 

  • Redman, T.: Data Quality: The Field Guide. Digital Press (2001)

    Google Scholar 

  • Strong, D., Lee, Y., et al.: Data Quality in Context. Communications of the ACM 40(5), 103–110(1997)

    Article  Google Scholar 

  • Wang, R., Strong, D.: Beyond Accuracy: What Data Quality Means to Data Consumer. Journal of Management Information Systems 12(4), 5–33 (1996)

    MATH  Google Scholar 

  • Winkler, W.: Methods for evaluating and creating data quality. Information Systems 29, 531–550 (2004)

    Article  MathSciNet  Google Scholar 

  • Yang, Z., Cai, S., et al.: Development and validation of an instrument to measure user perceived service quality of information presenting Web portals. In: Information and Management, vol. 42, pp. 575–589. Elsevier Science, North-Holland, Amsterdam (2004)

    Google Scholar 

  • 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)

    Google Scholar 

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© 2007 Springer-Verlag Berlin Heidelberg

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Caro, A., Calero, C., Caballero, I., Piattini, M. (2007). Towards a Data Quality Model for Web Portals. In: Filipe, J., Cordeiro, J., Pedrosa, V. (eds) Web Information Systems and Technologies. Lecture Notes in Business Information Processing, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74063-6_18

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  • DOI: https://doi.org/10.1007/978-3-540-74063-6_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74062-9

  • Online ISBN: 978-3-540-74063-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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