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Last updated: February 16th, 2016

Call for papers

If you are working on any of the following topics (not a closed list), please consider sharing your work with the community:

Corporate and Organizational Strategies for Information Quality

  • Information Quality Management, Data Governance, and CDO
  • Alignment of IQ with Business Strategies
  • Information Quality and Business Process Performance
  • Information Quality Assessment, Policies, and Standards
  • Cost/Benefit Analysis of IQ

Methods, Concepts, and Tools for Information Quality

  • IQ Concepts, Metrics, Measures, and Models
  • Data Quality by Design
  • Best Practices in Data Quality Management and in Data Governance
  • Data Provenance and Annotation
  • Information Product Theory and Practice
  • IQ Education and Training

Technologies for IQ Improvement and Assurance

  • Data Scrubbing and Cleansing
  • Master Data Management and Entity Resolution
  • Data Quality and Testing
  • IQ in SMACT (including DQ in Industrial Internet)
  • Privacy & Security Issues

Information Quality Cases and Applications Involving

  • Information Quality in Open (Linked) Data
  • Information Quality in Social Media Data and e-Business
  • Information Quality in Data Warehousing, Business Intelligence and Web Warehouse
  • Healthcare, Scientific, or Biometric Data
  • Industrial IQ in Big Data and in Internet of Things
  • Other Case Studies or Experience Reports

Submission Instructions and Reviewing Process

Authors are encouraged to submit their contributions (maximum 10 pages) by following the indications provided at The papers can be chosen out of these three topics: "Research-in-progress", "Full-Research" and "Practice-Oriented". Papers should be submitted by means of All papers will be blinded review by three high qualified reviewers.

Download Template Word for Papers:  logo PDF

Special Issue at Journal of Data and Information Quality

Authors having received the maximum scores will be invited to submit extended versions of their papers to the Special Issue at Journal on Data and Information Quality.

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