In June 2019, Minnesota State set a critical goal: By 2030, eliminate the educational equity gaps at each of the 30 colleges and 7 universities that comprise the system. To achieve the goal of Equity 2030, and empower actors at every level of Minnesota State, system and campus leaders need to fully embrace data democratization. Without access to…

Institutional research/effectiveness offices are instrumental in advancing diversity, equity, and inclusion (D.E.I.) efforts. Ideally they have the knowledge, perspective, and network within an institution to impact practice, process, policy, and planning in order to guide the institution toward a goal of being fully inclusive. With an…

As improving equity becomes prioritized in higher education, Offices of Institutional Research (OIRs) find themselves in a central position to identify and address educational inequities faced by racially minoritized students. However, their potential to serve as a catalyst for organizational change has yet to be fulfilled. In this study, we…

Complex adaptive systems (CASs) theory provides a framework for understanding how systems of multiple, independent, and intelligent agents interact with each other in a nested and overlapping set of environments to create both a whole that has an identity apart from any of its individual components as well as a setting in which simple…

Building a culture of data governance at a higher education institution involves collaboration across the entire institution. Before the creation of formalized roles to perform data management and data governance functions at colleges and universities, these functions were performed by traditional institutional research personnel. Documentation…

As institutions seek to shift into more advanced analytics and data-based decision-support, many institutional research offices face the challenge of meeting the office's current demands while taking on more intricate and specialized work to support decision-making. Given the great need organizations have for information that supports real-time…

This article explores how the global Coronavirus (COVID-19) pandemic impacted United States higher education over the course of the first year from Spring 2020-Spring 2021. Utilizing a case study methodology, blending proprietary, closely held, public use, and archival data, we find that political and institutional factors shaped the decision to…

The depths of the impact of COVID-19 on nearly every aspect of our personal and professional lives was becoming painfully clear in May and June of 2020. While institutions of higher education had implemented crisis/emergency plans in the immediate onset of the pandemic, and largely extended those efforts into summer terms, the fall 2020 term…

This article outlines the impacts of COVID-19 on higher education and provides a contextual assessment of how higher education systems can provide support to institutions and stakeholders through a formulated planning process which helps identify, plan, and achieve strategic goals in response to fluctuating priorities.

For decades, colleges and universities have strived to use data to take bold actions and make big decisions. The result is an expanding community of higher education professionals who are leveraging analytics to deliver optimal learning experiences for students. This chapter will describe the evolution of data use in higher education with a focus…

This chapter addresses how IR/IE both responds to and leads in our institutions and across higher education in measuring and improving student success. We introduce a new student success measurement framework in the context of internal and external facing needs, we define the importance of actionable information to inform decision-making, and we…

In this chapter, we explore the contexts within which institutional researchers must try to ensure the ethical use of data. We also identify challenges institutional research professionals can face when navigating college culture while trying to ensure the ethical use of data. Finally, we identify potential solutions for improving institutional…

As institutions of higher education increasingly look to data as evidence to support planning, allocate resources, and inform teaching and pedagogy, ethical considerations regarding learning analytics have evolved from being on the margins to more central in the conversations surrounding institutional uses of student data. After outlining this…

As we become increasingly acquainted with the rich opportunities that analytics systems can provide, there is a commensurate need to consider the extent to which analytics tools are effectively integrated, with proper training, into the day-to-day functioning of higher education professionals. This chapter explores the extent to which predictive…

The federal government has collected data from colleges and universities for more than a century. However, how and what data are collected has evolved over time, as has the purposes for collecting those data. The most systematic collection of data happens through the Integrated Postsecondary Education Data System (IPEDS), which is required to be…