Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/59997

Data in the Wild: A KM Approach to Doing a Census Without Asking Anyone and the Issue of Privacy

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Title:Data in the Wild: A KM Approach to Doing a Census Without Asking Anyone and the Issue of Privacy
Authors:Kelly, James
Jennex, Murray
Abhari, Kaveh
Durcikova, Alexandra
Frost, Eric
Keywords:Knowledge Management and Information Security
Knowledge Innovation and Entrepreneurial Systems
Actionable Intelligence, Knowledge Management Strategy, Open Source Data, Privacy
Date Issued:08 Jan 2019
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 paper 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. Both technical and data privacy feasibility is discussed.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/59997
ISBN:978-0-9981331-2-6
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Knowledge Management and Information Security


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