Data Quality for the Information Age
Data Quality for the Information Age
Telcordia's Database Reconciliation and Data Quality Analysis Tool
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Potter's Wheel: An Interactive Data Cleaning System
Proceedings of the 27th International Conference on Very Large Data Bases
An Extensible Framework for Data Cleaning
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
TAILOR: A Record Linkage Tool Box
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
DAML-QoS Ontology for Web Services
ICWS '04 Proceedings of the IEEE International Conference on Web Services
An efficient SQL-based RDF querying scheme
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Managing information quality in e-science using semantic web technology
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Managing information quality in e-science: the qurator workbench
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Exploiting Provenance to Make Sense of Automated Decisions in Scientific Workflows
Provenance and Annotation of Data and Processes
Incorporating Domain-Specific Information Quality Constraints into Database Queries
Journal of Data and Information Quality (JDIQ)
Query Processing Techniques for Compliance with Data Confidence Policies
SDM '09 Proceedings of the 6th VLDB Workshop on Secure Data Management
Automatic accuracy assessment via hashing in multiple-source environment
Expert Systems with Applications: An International Journal
Understanding provenance black boxes
Distributed and Parallel Databases
BioDQ: data quality estimation and management for genomics databases
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
A quality screening service for remote sensing data
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
On location privacy and quality of information in participatory sensing
Proceedings of the 8h ACM symposium on QoS and security for wireless and mobile networks
On assisting scientific data curation in collection-based dataflows using labels
WORKS '13 Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science
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There is a growing awareness among life scientists of the variability in quality of the data in public repositories, and of the threat that poor data quality poses to the validity of experimental results. No standards are available, however, for computing quality levels in this data domain. We argue that data processing environments used by life scientists should feature facilities for expressing and applying quality-based, personal data acceptability criteria.We propose a framework for the specification of users' quality processing requirements, called quality views. These views are compiled and semi-automatically embedded within the data processing environment. The result is a quality management toolkit that promotes rapid prototyping and reuse of quality components. We illustrate the utility of the framework by showing how it can be deployed within Taverna, a scientific workflow management tool, and applied to actual workflows for data analysis in proteomics.