Communications of the ACM
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
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 3: constructing a survey instrument
ACM SIGSOFT Software Engineering Notes
Principles of survey research part 2: designing a survey
ACM SIGSOFT Software Engineering Notes
Principles of survey research: part 5: populations and samples
ACM SIGSOFT Software Engineering Notes
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Empirical Software Engineering
AIMQ: a methodology for information quality assessment
Information and Management
Principles of survey research part 4: questionnaire evaluation
ACM SIGSOFT Software Engineering Notes
Principles of survey research part 6: data analysis
ACM SIGSOFT Software Engineering Notes
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
Issues in Using Students in Empirical Studies in Software Engineering Education
METRICS '03 Proceedings of the 9th International Symposium on Software Metrics
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
Journal of Management Information Systems
Defining a data quality model for web portals
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Effective use of ontologies in software measurement
The Knowledge Engineering Review
Towards the Discovery of Data Quality Attributes for Web Portals
ICWE '9 Proceedings of the 9th International Conference on Web Engineering
Rethinking portal design: a case study on renewable energy research
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Capturing data quality requirements for web applications by means of DQ_WebRE
Proceedings of the 2nd International Workshop on Business intelligencE and the WEB
International Journal of Web Based Communities
A core quality model for web applications
Journal of Web Engineering
Capturing data quality requirements for web applications by means of DQ_WebRE
Information Systems Frontiers
Evaluating the perceived and estimated quality in use of Web 2.0 applications
Journal of Systems and Software
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Data Quality is a critical issue in today's interconnected society. Advances in technology are making the use of the Internet an ever-growing phenomenon and we are witnessing the creation of a great variety of applications such as Web Portals. These applications are important data sources and/or means of accessing information which many people use to make decisions or to carry out tasks. Quality is a very important factor in any software product and also in data. As quality is a wide concept, quality models are usually used to assess the quality of a software product. From the software point of view there is a widely accepted standard proposed by ISO/IEC (the ISO/IEC 9126) which proposes a quality model for software products. However, until now a similar proposal for data quality has not existed. Although we have found some proposals of data quality models, some of them working as "de facto" standards, none of them focus specifically on web portal data quality and the user's perspective. In this paper, we propose a set of 33 attributes which are relevant for portal data quality. These have been obtained from a revision of literature and a validation process carried out by means of a survey. Although these attributes do not conform to a usable model, we think that it might be considered as a good starting point for constructing one.