Activity theory and human-computer interaction
Context and consciousness
Anchoring data quality dimensions in ontological foundations
Communications of the ACM
Communications of the ACM
Judgement of information quality and cognitive authority in the Web
Journal of the American Society for Information Science and Technology
Indicators of accuracy for answers to ready reference questions on the internet
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology - Bioinformatics
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Journey to Data Quality
Information Quality (Advances in Management Information Systems)
Information Quality (Advances in Management Information Systems)
Knowing-Why About Data Processes and Data Quality
Journal of Management Information Systems
A framework for information quality assessment
Journal of the American Society for Information Science and Technology
Information quality work organization in wikipedia
Journal of the American Society for Information Science and Technology
A model for online consumer health information quality
Journal of the American Society for Information Science and Technology
Using IBM content manager for genomic data annotation and quality assurance tasks
IBM Journal of Research and Development
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The rapid accumulation of genome annotations, as well as their widespread reuse in clinical and scientific practice, poses new challenges to management of the quality of scientific data. This study contributes towards better understanding of scientists' perceptions of and priorities for data quality and data quality assurance skills needed in genome annotation. This study was guided by a previously developed general framework for assessment of data quality and by a taxonomy of data-quality (DQ) skills, and intended to define context-sensitive models of criteria for data quality and skills for genome annotation. Analysis of the results revealed that genomics scientists recognize specific sets of criteria for quality in the genome-annotation context. Seventeen data quality dimensions were reduced to 5-factor constructs, and 17 relevant skills were grouped into 4-factor constructs. The constructs defined by this study advance the understanding of data quality relationships and are an important contribution to data and information quality research. In addition, the resulting models can serve as valuable resources to genome data curators and administrators for developing data-curation policies and designing DQassurance strategies, processes, procedures, and infrastructure. The study's findings may also inform educators in developing data quality assurance curricula and training courses.