Science and Technology Policy
Big data poses serious challenges to the privacy and security of individuals and their data. This research considers how to best address the social problem that the pervasiveness of data collection, analysis, and storage creates with regard to individuals’ ability to control their own data. Using Quality Function Deployment (QFD) and Technology Roadmapping analysis methods, we assess the social problems, technologies, resources, and industries that are most relevant to addressing data privacy. We find that the medical industry is the most important industry to consider because of the nature of the data generated through medical processes and technologies, and that enforcement mechanisms, specifically in the form of federal enforcement agencies, are the most effective way to ensure compliance by actors. However, there are extenuating political circumstances and increased costs that make the implementation of policies difficult in the United States that also need to be considered. Future research should further address some of these elements as big data technologies continue to be adopted across corporations and organizations.
Dabab, Maoloud and Craven, Rebecca, "“Big Data and Privacy”" (2017). Engineering and Technology Management Student Projects. 170.