An applicable data quality model for web portal data consumers

World Wide Web

Volumn 11, Issue 4, 2008, Pages 465-484

  Calero, C ^a   Caro, A ^b   Piattini, M ^a  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSIDAD DEL BÍO BÍO   (Chile)

Author keywords

Data quality; Data quality assessment; Data quality model; Developers; Users; Web portals

Indexed keywords

DATA QUALITY; DATA QUALITY ASSESSMENT; DATA QUALITY MODEL; DEVELOPERS; USERS; WEB PORTALS;

DATA REDUCTION; ELECTRONIC COMMERCE; PORTALS; WORLD WIDE WEB;

MATHEMATICAL MODELS;

EID: 54249150867     PISSN: 1386145X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11280-008-0048-y     Document Type: Article

References (38)

1. Angeles, P., MacKinnon, L.: Detection and resolution of data inconsistences, and data integration using data quality criteria. In: Proceedings of the QUATIC'2004, pp. 87-93 (2004)
2. Bouzeghoub, M., Peralta, V.: A framework for analysis of data freshness. In: Proceedings of the International Workshop on Information Quality in Information Systems (IQIS2004), pp. 59-67. ACM, Paris, France (2004)
3. Cappiello, C., Francalanci, C., Pernici, B.: Data quality assessment from the user's perspective. In: Proceedings of the International Workshop on Information Quality in Information Systems (IQIS2004), pp. 68-73. ACM, Paris, Francia (2004)
4. Caro, A., Calero, C., Caballero, I., Piattini, M.: Defining a Data Quality Model for Web Portals. In: Proceedings of the WISE2006, The 7th International Conference on Web Information Systems Engineering, pp. 363-374. Springer LNCS 4255, Wuhan, China (2006)
5. Caro, A., Calero, C., Piattini, M.: Development process of the operational version of PDQM. In: Proceedings of the WISE2007, The 8th International Conference on Web Information Systems Engineering pp. 436-448. Springer LNCS, Nancy, Francia (2007)
6. Collins, H.: Corporate Portal Definition and Features. AMACOM (2001)
7. Eppler, M.: Managing Information Quality: Increasing the Value of Information in Knowledge-intensive Products and Processes. Springer, New York (2003)
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: Proceedings of the Eighth International Conference on Information Quality, pp. 108-120 (2003)
9. Eppler, M., Muenzenmayer, P.: Measuring Information Quality in the Web Context: A Survey of State-of-the-Art Instruments and an Application Methodology. In: Proceedings of the Seventh International Conference on Information Quality, pp. 187-196 (2002)
10. Finkelstein, C., Aiken, P.: XML and Corporate Portals. Access in http://www.wilshireconferences.com/xml/paper/xml-portals.htm (1999)
11. Fugini, M., Mecella, M., Plebani P., Pernici B., Scannapieco M.: Data Quality in Cooperative Web Information Systems. Personal Communication. citeseer.ist.psu.edu/fugini02data.html (2002)
12. M. Gertz T. Ozsu G. Saake K.U. Sattler 2004 Report on the Dagstuhl Seminar "Data Quality on the Web" SIGMOD Rec. 33 1 127 132
13. A. Ginige S. Murugesan 2001 Web Engineering: An Introduction IEEE Multimed 8 1 14 17
14. Graefe, G.: Incredible Information on the Internet: Biased Information Provision and a Lack of Credibility as a Cause of Insufficient Information Quality. In: Proceedings of the 8th International Conference on Information Quality, pp. 133-146 (2003)
15. Ivory, M., Rashmi, S., Marti, H.: Empirically Validated Web Page Design Metrics. In: Proceedings of the SIG-CHI on Human factors in computing systems (SIGCHI'01), pp. 53-60. Seattle, WA, USA (2001)
16. Katerattanakul, P., Siau, K.: Information quality in internet commerce desing. In: PiattiniCaleroGenero, M.C.M. (ed.) Information and Database Quality, pp. 45-56. Kluwer Academic, Dordrecht (2001)
17. Katerattanakul, P., Siau, K.: Measuring Information Quality of Web Sites: Development of an Instrument. In: Proceedings of the 20th International Conference on Information System, pp. 279-285 (1999)
18. S.A. Knight J.M. Burn 2005 Developing a Framework for Assessing Information Quality on the World Wide Web Inf. Sc. J. 8 159 172
19. Y. Lee 2002 AIMQ: a methodology for information quality assessment Inf. Manage. 40 133 146 Elsevier Science
20. Malak, G., Sahraoui, H., Badri, L., Badri, M.: Modeling web-based applications quality: a probabilistic approach. In: Proceedings of the 7th International Conference on Web Information Systems Engineering, pp. 398-404. Springer LNCS, Wuhan, China (2006)
21. Melkas, H.: Analyzing Information Quality in Virtual service Networks with Qualitative Interview Data. In: Proceedings of the Ninth International Conference on Information Quality, pp. 74-88 (2004)
22. M.Á. Moraga C. Calero M. Piattini 2006 Comparing different quality models for portals Online Inf. Rev. 30 5 555 568
23. Moustakis, V., Litos, C., Dalivigas, A., Tsironis, L.: Website Quality Assessment Criteria. In: Proceedings of the Ninth International Conference on Information Quality, pp. 59-73 (2004)
24. Naumann, F., Rolker, C.: Assesment Methods for Information Quality Criteria. In: Proceedings of the Fifth International Conference on Information Quality, pp. 148-162 (2000)
25. M. Neil N.E. Fenton L. Nielsen 2000 Building large-scale Bayesian Networks Knowl. Eng. Rev. 15 3 257 284
26. Nielsen, J.: Designing Web Usability: The Practice of Simplicity. New Riders, Thousand Oaks, CA (2000)
27. Pernici, B., Scannapieco, M.: Data Quality in Web Information Systems. In: Proceedings of the 21st International Conference on Conceptual Modeling, pp. 397-413 (2002)
28. L. Pipino Y. Lee R. Wang 2002 Data quality assessment Commun. ACM. 45 4 211 218
29. Pressman, R.: Software Engineering: a Practitioner's Approach, 5th edn. McGraw-Hill, New York (2001)
30. Redman, T.: Data quality: The field guide. Digital, Boston (2000)
31. Sahraou,i H., Boukadoum, M., Chawiche, H.M., Mai, G., Serhani, M.A.: A fuzzy logic framework to improve the performance and interpretation of rule-based quality prediction models for object-oriented software. In Proceedings of the 26th Computer Software and Applications Conference (COMPSAC02) (2002)
32. Shanks, G., Corbitt, B.: Understanding Data Quality: Social and Cultural Aspects. In: Proceedings of the 10th Australasian Conference on Information Systems, pp. 785-797. Wellington, New Zealand (1999)
33. D. Strong Y. Lee R. Wang 1997 Data quality in context Commun. ACM. 40 5 103 110
34. R. Wang D. Strong 1996 Beyond accuracy: What data quality means to data consumers J. Manage. Inf. Syst. 12 4 5 33 Armonk; Spring
35. W. Winkler 2004 Methods for evaluating and creating data quality Inf. Syst. 29 7 531 550
36. Xiao, L., Dasgupta, S.: User Satisfaction with Web Portals: An empirical Study. In: Gao, Y. (eds.) Web Systems Design and Online Consumer Behavior, pp. 193-205. Idea Group, Hershey, PA (2005)
37. Z. Yang S. Cai Z. Zhou N. Zhou 2004 Development and validation of an instrument to measure user perceived service quality of information presenting Web portals Inf. Manage. 42 575 589 Elsevier Science
38. Zhu, Y., Buchmann, A.: Evaluating and Selecting Web Sources as external Information Resources of a Data Warehouse. In: Proceedings of the 3rd International Conference on Web Information Systems Engineering, pp. 149-160 (2002)