This paper was completed as part of the final research component in the University of Oregon Applied Information Management Master's Degree Program [see htpp://aim.uoregon.edu].The purpose of this annotated bibliography is to identify ways to better manage enterprise-wide data assets within institutions of higher education through data quality actions and data governance options. The goal is to present selected data governance practices within the private business sector for consideration by individuals in public higher education who promote and support data quality initiatives. Topics include data quality barriers, data quality models, data quality management practices, and data quality drivers