Advertisement

Defining a Data Quality Model for Web Portals

  • Angélica Caro
  • Coral Calero
  • Ismael Caballero
  • Mario Piattini
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4255)

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.

Keywords

Data Quality Information Quality Web Portal Quality Model 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Aboelmeged, M.: A Soft System Perspective on Information Quality in Electronic Commerce. In: Proceedings of the Fifth Conference on Information Quality (2000)Google Scholar
  2. 2.
    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)Google Scholar
  3. 3.
    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)Google Scholar
  4. 4.
    Burgess, M., Fiddian, N., Gray, W.: Quality Measures and The Information Consumer. In: Proceedings of the 9th International Conference on Information Quality (2004)Google Scholar
  5. 5.
    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)Google Scholar
  6. 6.
    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)Google Scholar
  7. 7.
    Collins, H.: Corporate Portal Definition and Features: AMACOM (2001)Google Scholar
  8. 8.
    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)Google Scholar
  9. 9.
    Fugini, M., Mecella, M., Plebani, P., Pernici, B., Scannapieco, M.: Data Quality in Cooperative Web Information Systems (2002)Google Scholar
  10. 10.
    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)CrossRefGoogle Scholar
  11. 11.
    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
  12. 12.
    Huang, K.-T., Lee, Y., Wang, R.: Quality information and knowledge. Prentice Hall, Englewood Cliffs (1999)Google Scholar
  13. 13.
    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
  14. 14.
    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
  15. 15.
    Kitchenham, B.: Procedures for Performing Systematic Reviews, 0400011T.1 (2004)Google Scholar
  16. 16.
    Kitchenham, B., Pfleeger, S.L.: Principles of survey research: part 3: constructing a survey instrument. SIGSOFT Softw. Eng. Notes 27, 20–24 (2002)Google Scholar
  17. 17.
    Kopcso, D., Pipino, L., Rybolt, W.: The Assesment of Web Site Quality. In: Proceeding of the Fifth International Conference on Information Quality (2000)Google Scholar
  18. 18.
    Lee, Y.: AIMQ: a methodology for information quality assessment, Information and Management, pp. 133–146. Elsevier Science, Amsterdam (2002)Google Scholar
  19. 19.
    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)Google Scholar
  20. 20.
    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)Google Scholar
  21. 21.
    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
  22. 22.
    Moraga, M.Á., Calero, C., Piattini, M.: Comparing different quality models for portals. Online Information Review (to appear, 2006)Google Scholar
  23. 23.
    Moustakis, V., Litos, C., Dalivigas, A., Tsironis, L.: Website Quality Assesment Criteria. In: Proceeding of the Ninth International Conference on Information Quality (2004)Google Scholar
  24. 24.
    Naumann, F., Rolker, C.: Assesment Methods for Information Quality Criteria. In: Proceeding of the Fifth International Conference on Information Quality (2000)Google Scholar
  25. 25.
    Pressman, R.: Software Engineering: a Practitioner’s Approach, 5th edn. McGraw-Hill, New York (2001)Google Scholar
  26. 26.
    Redman, T.: Data Quality: The field guide. Digital Press, Boston (2000)Google Scholar
  27. 27.
    Strong, D., Lee, Y., Wang, R.: Data Quality in Context. Communications of the ACM 40(5), 103–110 (1997)CrossRefGoogle Scholar
  28. 28.
    Wang, R.: A Product Perspective on Total data Quality Management. Communications of the ACM 41(2), 54–65 (1998)CrossRefGoogle Scholar
  29. 29.
    Wang, R., Strong, D.: Accuracy: What data quality means to data consumers. Journal of Management Information Systems 12, 5–33 (Spring 1996)zbMATHGoogle Scholar
  30. 30.
    Winkler, W.: Methods for evaluating and creating data quality. Information Systems 29, 531–550 (2004)CrossRefMathSciNetGoogle Scholar
  31. 31.
    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)CrossRefGoogle Scholar
  32. 32.
    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

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Angélica Caro
    • 1
  • Coral Calero
    • 2
  • Ismael Caballero
    • 2
  • Mario Piattini
    • 2
  1. 1.Department of Auditoria e InformáticaUniversity of Bio BioChillánChile
  2. 2.Alarcos Research Group. Information Systems and Technologies Department, UCLM-SOLUZIONA Research and Development InstituteUniversity of Castilla-La Mancha 

Personalised recommendations