Title
Improving data quality with dynamic forms
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.
Year
DOI
Venue
2009
10.1109/ICTD.2009.5426738
ICTD
Keywords
Field
DocType
probabilistic engine,improving data quality,developed world,data gathering practices,quality assurance,data entry form,correct answer,data-driven approach,data quality,dynamic form,data quality constraints maintenance,data entry forms generation,data quality constraint,usher,form-user interactions,digital data,standard data,data integrity,form design,end-to-end system,probability,dynamic forms,clinical trials,government,developing world,feedback,probabilistic logic,economics,computer science,engines,data gathering,data models
Data collection,Data modeling,Data quality,Software engineering,Computer science,Data governance,Knowledge management,Data integrity,Probabilistic logic,Digital data,Database,Quality assurance
Conference
ISBN
Citations 
PageRank 
978-1-4244-4663-6
16
1.40
References 
Authors
1
6
Name
Order
Citations
PageRank
Kuang Chen123618.24
Harr Chen252228.20
Neil Conway345821.46
Heather Dolan4161.40
Joseph M. Hellerstein5140931651.14
Tapan S. Parikh692685.91