Abstract: Due to the most recent technological advances of the Internet-of-Things (IoT) and data analytics algorithms, the issues of data privacy has been at the forefront of many enterprise strategies. Data Privacy has been seen, throughout the years as a legal, public policy and, most recently, a risk management issue. In this paper, we begin the discussion of data privacy at the operational level by addressing operational initiatives and activities to be implemented. More specifically, these initiatives and activities are discussed across a data life cycle model. The focus of this paper is to examine the characteristics of each data life cycle stage and propose a series of organizational data management processes to address data privacy.
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Recommended Citation: Pomykalski, J., (2020). Privacy Considerations Throughout the Data Life Cycle. Journal of Information Systems Applied Research13(1) pp 40-48. http://JISAR.org/2020-1/ ISSN : 1946 - 1836. A preliminary version appears in The Proceedings of CONISAR 2019