Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Faculty and Staff Guide to Conducting Data Quality Evaluations

Faculty and Staff Guide to Conducting Data Quality Evaluations

Fallucca, Amber C.
Kniess, Dena R.

Paperback

General Education

Publisher Price: $6.00

ISBN10: 1942072856
ISBN13: 9781942072850
Publisher: First-Year Experience and Students in Transit
Published: May 19 2026
Pages: 36
Weight: 0.18
Height: 0.15 Width: 5.40 Depth: 8.09
Language: English
Higher education data quality evaluations, synonymous with data audits, are becoming increasingly important to institutions aspiring to provide evidence of student learning and success to a variety of stakeholders. This evolution is spurred by increased accountability and realizations that decision-making requires insights gleaned through data, preferably collected over time, and triangulated across multiple methods. The audience for this publication includes program coordinators, department heads, data analysts, and institutional leadership across different institutional types and sizes. Individuals with varying levels of data expertise can also benefit from this guide as the information is designed for cross-functional teams and extends beyond an individual role.

A major goal of this guide is to provide resources and direction for how to facilitate data quality evaluations at the readers' respective campuses or organizations. Another, equally important, aim is for institutions to build capacity for data collection, communication of results, and associated best practices, including establishing key partnerships that will support current and future data-focused projects. Data sources and technology platforms may have increased substantially over time. However, the method by which campuses connect information, particularly student-level data, in consistent fashion is far less developed. This publication addresses some of the prevailing challenges in continuing to move the needle on data audit best practices. It also provides recommended activities to advance readers' understanding and application of successful data quality evaluation strategies.

Also from

Fallucca, Amber C.

View All

Also in

General Education

View All