Steven Lonn & Glenn Auerbach, University of Michigan
Hear about a collaborative project at the University of Michigan to transform institutional reporting data into a centralized dataset for institutional research and learning analytics. They will describe how the team transformed admissions, registrar, and other institutional data into a simplified, normalized, flat, and ready-to-analyze format. The rationale, process, reasoning, and development processes completed over 18 months will be discussed. Session attendees will learn how they might build such a dataset at their own institution and how this project can be a model for partnerships between IT, faculty, students, and staff across the institution.