ABSTRACT
Planning for any large-scale technology deployment, new initiative, or toolset requires more than just the traditional requirements of gathering work done in small isolated meetings to determine prioritization. Data prioritization is complicated by confusion around ownership. The Privacy Technical Assistance Center defines data governance "as an organizational approach to data and information management that is formalized as a set of policies and procedures that encompass the full life cycle of data, from acquisition to use to disposal". This chapter provides a baseline of best practices that institutions would do well to consider within their own unique organizational setting. It outlines several foundational planning tactics, which, if executed properly, will provide a robust and strong foundation to build upon and grow. A. Zeid's 2014 classifications for campus data maturity offer a quick opportunity for a baseline campus culture audit and focus on leaders on data prioritization activities that go beyond individual data domains, types, or silos.
