Communications of the ACM
Measuring information quality of web sites: development of an instrument
ICIS '99 Proceedings of the 20th international conference on Information Systems
Data quality: the field guide
Principles of survey research: part 1: turning lemons into lemonade
ACM SIGSOFT Software Engineering Notes
Principles of survey research part 2: designing a survey
ACM SIGSOFT Software Engineering Notes
AIMQ: a methodology for information quality assessment
Information and Management
Evaluating and Selecting Web Sources as External Information Resources of a Data Warehouse
WISE '02 Proceedings of the 3rd International Conference on Web Information Systems Engineering
Data Quality in Web Information Systems
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
Report on the Dagstuhl Seminar
ACM SIGMOD Record
A collaborative approach for caching dynamic data in portal applications
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
A framework for analysis of data freshness
Proceedings of the 2004 international workshop on Information quality in information systems
Data quality assessment from the user's perspective
Proceedings of the 2004 international workshop on Information quality in information systems
Methods for evaluating and creating data quality
Information Systems - Special issue: Data quality in cooperative information systems
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
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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 on 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.