Enhancing privacy management and governance strategies through metadata driven frameworks

Modern organizations collect and process mass amounts of personal data. This data has the power to individually identify an individual and may be linked to some sensitive information about them.
Because of this risk, policies and legislation have been implemented to ensure that personal data is handled in an organized and secure manner. As the scope of personal data collection advances, it is difficult for organizations to ensure compliance with these frameworks.
The goal of this project is to investigate the current proposed structures for metadata management of personal information. The next objective is to compile a collection of the best practice that organizations can employ to ensure their data is structured in a way that complies with current privacy frameworks as well as Quebec’s new Bill 64.
From these findings, a framework for metadata management will be drafted. This structure will incorporate the best practices discovered in the previous stage and will be validated with interaction from the partner organization.

Faculty Supervisor:

Rozita Dara

Student:

Partner:

Co-operators (General Insurance)

Discipline:

Computer science

Sector:

Finance and Insurance

University:

University of Guelph

Program: