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Data in the Wild: A KM Approach to Collecting Census Data Without Surveying the Population and the Issue of Data Privacy

Data in the Wild: A KM Approach to Collecting Census Data Without Surveying the Population and the Issue of Data Privacy
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Author(s): James Kelly (San Diego State University, USA), Murray Eugene Jennex (San Diego State University, USA), Kaveh Abhari (San Diego State University, USA), Alexandra Durcikova (University of Oklahoma, USA) and Eric Frost (San Diego State University, USA)
Copyright: 2020
Pages: 27
Source title: Knowledge Management, Innovation, and Entrepreneurship in a Changing World
Source Author(s)/Editor(s): Murray Eugene Jennex (San Diego State University, USA)
DOI: 10.4018/978-1-7998-2355-1.ch011

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Abstract

Knowledge Societies strive to better their citizens by maximizing services while minimizing costs. One of the more expensive activities is conducting a census. This chapter explores the feasibility of conducting a smart census by using a knowledge management strategy of focusing on actionable intelligence and the use of open source data sources to conduct a national census that collects data to answer the issues the census is designed to address. Both technical and data privacy feasibility is discussed.

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