Project
Community Use of Data to Improve Institutional Climate
Description
Create the infrastructure, data governance policies, and data sharing necessary to allow for the identification of areas of excellence and areas of improvement related to campus climate and sense of belonging for all faculty, staff, and students.
Data Foundations
4-Year Institution
PWI
Alabama
Joe'l Lewis Billingsley
Vice President, Diversity and Community Engagement
Naima Wells
Associate Director, Institutional Effectiveness
Angela Coleman
Associate Vice President, Institutional Effectiveness
Evidence

This project will employ a largely ethnographic methodology as it seeks to more fully describe the current institutional climate. Secondary data collection to include incident and complaint reports, from offices across campus that are not currently analyzed together. Data analyses will collate data and give back to each contributing office all data from across campus that relates to their office.

This methodology values all voices and seeks to acknowledge the voices and experiences of all persons on campus to inform our priorities and vision for a campus climate in which all faculty, staff, and students can succeed. We seek to identify if there are areas for improvement to support increasing inclusion and a sense of belonging for all.

All of the data related to DEI will be analyzed using a constant-comparative methodology to allow for the formulation of themes and commonalities that emerge from the data and help to define the institutional climate.

Data sources include: complaints and reports currently held in the Office of Compliance/Ethics, Human Resources, Academic Affairs, the Colleges and Schools, Student Affairs, and Student Complaints.

Goal

This project seeks to create the infrastructure, data governance policies, and data sharing processes necessary to allow the data, currently collected in independent data systems, to be used in aggregate to identify areas of excellence and areas of improvement in regards to campus climate and sense of belonging for all faculty, staff, and students.

Lessons Learned

Lessons learned include:
- Many offices collect data from marginalized groups on campus that are never considered in aggregate.
- Data may not include the voices of all persons, particularly those who have had negative experiences.
- Find ways to include the voices that may not be the loudest or have the most numbers.
- Data is not being turned into information.
- Alignment of data sources to make data compatible and usable.
- Identification of campus support and data networks, and data owners.
- Alignment of existing human resources for project implementation.