By Denise Nadasen, DM and Julia Chadwick
Each cluster in APLU’s Powered by Publics initiative is working to refine, implement, and scale innovative practices that address shared challenges among the participating institutions. This memo highlights universities in the Data Integration Cluster (a list of institutions in this cluster is at the end of this memo).
Institutions in the Data Integration Cluster have a shared interest in leveraging data to support student success initiatives. While institutions are in different stages of development in their data analytics infrastructure, they understand the need to:
The Data Integration Cluster spent the last year developing resources to bolster institutional understanding of their progress towards an optimized data culture, with a focus on creating a data maturity matrix.
Maturity matrices are used in higher education to identify strengths and opportunities for improvement at different levels (e.g., institutional, unit, program) or different processes (e.g., improving data literacy). Typically featuring five levels of organizational development, the matrix levels range from “initial” to “optimized.” It’s possible for an institution to be on the initial level for one goal, and closer to the optimizing level for another goal. For further details on maturity matrices, click here.
How has this cluster used the tool?
The data maturity matrix identifies essential components of a data infrastructure and assesses the use of data for advancing student success. The core areas for assessment include data collection, quality, dissemination, culture, and usefulness. A description of each level is provided for institutions to assess their development, according to the tool’s criteria. A second phase of the matrix requires institutions to describe their infrastructure in each of the core areas. This information will be synthesized and serve as a learning object for college and university leaders. Cluster team members identified key stakeholders for discussion, completed the Data Maturity Matrix with their input, and discussed the findings and opportunities as a cluster.
What’s next for the cluster?
The cluster is working to tackle the following remaining questions:
While developing and discussing the data maturity matrix, the cluster determined there is a clear need for a deeper focus on data governance, setting standard data definitions, and level-setting around the different maturity levels.
Cluster subcommittees are working together to move forward in the following areas:
The following resources are working drafts developed by the Data Integration Cluster:
The resources below are documents that the cluster subcommittees have used to frame and define the work:
Institutions in the cluster: