Improving data quality with dynamic forms

  • Authors:

  • Kuang Chen;Harr Chen;Neil Conway;Heather Dolan;Joseph M. Hellerstein;Tapan S. Parikh

  • Affiliations:

  • Computer Science Division, University of California at Berkeley;Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology;Computer Science Division, University of California at Berkeley;School of Information, University of California at Berkeley;Computer Science Division, University of California at Berkeley;School of Information, University of California at Berkeley

  • Venue:
  • ICTD'09 Proceedings of the 3rd international conference on Information and communication technologies and development
  • Year:
  • 2009

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Abstract

Organizations in developing regions want to efficiently collect digital data, but standard data gathering practices from the developed world are often inappropriate. Traditional techniques for form design and data quality are expensive and labour-intensive. We propose a new data-driven approach to form design, execution (filling) and quality assurance. We demonstrate USHER, an end-to-end system that automatically generates data entry forms that enforce and maintain data quality constraints during execution. The system features a probabilistic engine that drives form-user interactions to encourage correct answers.