Data Governance is a collection of practices and processes which helps to ensure the formal management of data assets within an organization. Data Governance often includes concepts such as Data Stewardship, Data Quality, and others to help an enterprise gain better control over its data assets, including methods, technologies, and behaviors around the proper management of data. It also deals with security and privacy, integrity, usability, integration, compliance, availability, roles and responsibilities, and overall management of the internal and external data flows within an organization.
From Dataversity (http://www.dataversity.net/what-is-data-governance)
(as affirmed by the Data Trustees on August 3, 2017)
New York University’s administrative data is treated as an enterprise-wide asset and is readily available to support evidence-based decision-making and informed action.
New York University recognizes the need to develop an Administrative Data Governance Initiative to manage the quality, consistency, usability, security, accessibility, and availability of administrative data. This initiative is comprised of the people, policies, standards, processes, metrics, education, and technologies required to fully manage the University’s administrative data as an enterprise asset.
New York University's Administrative Data Governance Initiative is:
Although the scope of the Initiative is all administrative data, implementation of data governance will occur in a phased manner – either in particular offices, or with more critical data across offices.
The main objectives of the Data Governance Initiative include: