| OCR Text |
Show 254 Kent Johnson A UNIVERSAL MODEL FOR PERSONAL DATA IN THE 21ST CENTURY Kent Johnson (Vandana Ramachandran) Department of Information Systems University of Utah honors college spring 2012 Users across the globe endure the continual re-submission and recreation of personal data at each online information portal they use and the inherent risks of such behavior. Whether on Facebook, Google+, Twitter, LinkedIn, or any one of the other useful websites on the internet users continually input personal data. Users accept risks of data breaches and unfriendly privacy policy terms at each instance of entry. Each additional entry of personal data increases exposure to these, and the risk of accuracy errors. In order to reduce this risk and to allow personal data to flow freely from site to site we must create and use a universal model of personal data. This model protects the interests of end-users and allows interested parties to gain value from personal data while giving the end-user full control over access to the data. I use a set of data ownership roles provided by David Loshin, an IT consultant, as a starting point to begin the creative uncovering of this model. Using such a model as the cornerstone of a distributed globally identity management service enables users to transfer their personal data between websites, government agencies, healthcare providers, and any other interested parties at the behest of the end-user. This empowers indi-viduals worldwide to overcome barriers due to heterogeneous processing and management of personal data. It also provides to any entity willing to use the model a conceptual foundation for accessing vast amounts of valuable personal data, assuming widespread adoption of the model. From my observations I conclude that the proper model of data stewardship promotes end-user centricity by protecting rights to ownership by organizing those rights around three key com-ponents of the model, the identity or person, linked data as data points, and links between the person and linked data. The model assigns the burden of trust and transparency on the entities who intend to gain value from the data while assigning the responsibility for integrity, in part, to the creators of personal data. Lastly, it involves a value-based compensation for personal data that benefits all parties in a data exchange. Vandana Ramachandran |
