Time: May 5, Round 3, 1:25 – 1:55 p.m.
Location: Breakout sessions
The increasing availability of rich and plentiful data, together with powerful data collection and processing tools for collecting and processing data is transforming the global community. The University of Toronto (U of T) is no exception. Our mission increasingly relies upon the adept and efficient use of institutional data. However, if institutional data are to be useful, they must be well-managed, accurate, understandable and accessible. Over the past two years, the University has undertaken efforts to establish its institutional data governance program. Our institution is large, complex and highly distributed, presenting unique challenges to successfully engaging its divisions to implement the program. While establishing its reporting structures to guide and oversee the program, the University is adopting a non-invasive data governance approach, drawing upon an organization’s existing people, processes and infrastructures. We will introduce the approaches taken to date, including establishing the institution’s vision, guiding principles and approach to program implementation. Furthermore, we will describe the extensive consultations we undertook with a broad range of stakeholders to help us understand the current state of data governance and opportunities.