Toward quality data: an attribute-based approach
Decision Support Systems - Special issue on information technologies and systems
Communications of the ACM
A product perspective on total data quality management
Communications of the ACM
Estimating and improving the quality of information in a MIS
Communications of the ACM
Communications of the ACM - Supporting community and building social capital
Data Quality for the Information Age
Data Quality for the Information Age
A Framework for Analysis of Data Quality Research
IEEE Transactions on Knowledge and Data Engineering
The Impact of Data Quality Information on Decision Making: An Exploratory Analysis
IEEE Transactions on Knowledge and Data Engineering
AIMQ: a methodology for information quality assessment
Information and Management
Modeling Completeness versus Consistency Tradeoffs in Information Decision Contexts
IEEE Transactions on Knowledge and Data Engineering
A Polygen Model for Heterogeneous Database Systems: The Source Tagging Perspective
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
The Impact of Experience and Time on the Use of Data Quality Information in Decision Making
Information Systems Research
Discovering potential and realizing value from information technology investments
Journal of Management Information Systems - Special issue: Impacts of information technology investment on organizational performance
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Supporting data quality management in decision-making
Decision Support Systems
Knowing-Why About Data Processes and Data Quality
Journal of Management Information Systems
A Procedure to Develop Metrics for Currency and its Application in CRM
Journal of Data and Information Quality (JDIQ)
Using Data Mining Techniques to Discover Bias Patterns in Missing Data
Journal of Data and Information Quality (JDIQ)
Evaluating a model for cost-effective data quality management in a real-world CRM setting
Decision Support Systems
Assessing data currency - a probabilistic approach
Journal of Information Science
An approach to assess the quality of web pages in the deep web
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Modeling decisional knowledge with the help of data quality information
CDVE'11 Proceedings of the 8th international conference on Cooperative design, visualization, and engineering
Accuracy of aggregate data in distributed project settings: Model, analysis and implications
Journal of Data and Information Quality (JDIQ)
A risk based model for quantifying the impact of information quality
Computers in Industry
Hi-index | 0.00 |
Data consumers assess quality within specific business contexts or decision tasks. The same data resource may have an acceptable level of quality for some contexts but this quality may be unacceptable for other contexts. However, existing data quality metrics are mostly derived impartially, disconnected from the specific contextual characteristics. This study argues for the need to revise data quality metrics and measurement techniques to incorporate and better reflect contextual assessment. It contributes to that end by developing new metrics for assessing data quality along commonly used dimensions - completeness, validity, accuracy, and currency. The metrics are driven by data utility, a conceptual measure of the business value that is associated with the data within a specific usage context. The suggested data quality measurement framework uses utility as a scaling factor for calculating quality measurements at different levels of data hierarchy. Examples are used to demonstrate the use of utility-driven assessment in real-world data management scenarios and the broader implications for data management are discussed