The workshop topics include, but are not limited to:

  • Data Quality Models and Theory
  • Data Quality Measures and Evaluations
  • Data Cleaning Algorithms
  • Record Linkage and Entity Resolution
  • Privacy Preservation and Security Issues in the Process of Data Cleaning
  • Data Quality Policies and Standards
  • Data Provenance and Annotation
  • Data Quality in Information Retrieval and Extraction
  • Probabilistic, Fuzzy, and Uncertain Data Management
  • Data Quality in Sensor Networks and CPS
  • Data Quality in Information Integration
  • Crowdsourcing for Data Quality
  • Master Data Management
  • Applications for Data Quality Management
  • Error-Tolerate Computation