A Case Study on Data Quality, Privacy, and Entity Resolution

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Author(s): William Decker (University of Arkansas – Little Rock, USA), Fan Liu (University of Arkansas – Little Rock, USA), John Talburt (University of Arkansas – Little Rock, USA), Pei Wang (University of Arkansas – Little Rock, USA)and Ningning Wu (University of Arkansas – Little Rock, USA)
Copyright: 2014
Pages: 22
Source title: Information Quality and Governance for Business Intelligence
Source Author(s)/Editor(s): William Yeoh (Deakin University, Australia), John R. Talburt (University of Arkansas at Little Rock, USA)and Yinle Zhou (IBM Corporation, USA)
DOI: 10.4018/978-1-4666-4892-0.ch004

Keywords: Business & Management / Business and Organizational Research / Business Intelligence / Business Science Reference

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Abstract

This chapter presents ongoing research conducted through collaboration between the University of Arkansas at Little Rock and the Arkansas Department of Education to develop an entity resolution and identity management system. The process includes a multi-phase approach consisting of data-quality analysis, selection of entity-identity attributes for entity resolution, development of a truth-set, and implementation and benchmarking of an entity-resolution rule set using the open source entity-resolution system named OYSTER. The research is the first known of its kind to evaluate privacy-enhancing, entity-resolution rule sets in a state education agency.

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A Case Study on Data Quality, Privacy, and Entity Resolution

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