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May 21 2025
Artificial Intelligence

University of Notre Dame Reviews Data Governance for AI

A flexible data management strategy allows the university to remain agile and adopt artificial intelligence.

The University of Notre Dame is re-evaluating its data classification structure in the context of its artificial intelligence initiatives to ensure the proper handling and sharing of data, says Jane Livingston, Notre Dame CIO and vice president for IT.

Notre Dame’s data governance program dates back to 2013 and currently classifies data as public, internal, sensitive or highly sensitive.

“To provide guidance to our faculty, staff and students when they are using AI, we wanted to dig a little bit deeper and provide more clarity and examples of what kinds of data are in which category, what kinds of data are safe to use with generative AI chatbots, and which data you should be careful using or not use at all,” Livingston says.

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Data Analytics Allow for Flexible Decision-Making

Notre Dame has engaged with a consulting firm to review existing policies to simplify and make them more flexible when possible, she says.

Working closely with the information governance committee, information security team and the office of general counsel, “we are taking a look at everything and making sure that it still makes sense, and simplifying, modifying, enhancing where we can, especially through the lens of AI,” she says. 

 In 2016, Notre Dame began implementing an on-demand data analytics platform called dataND to allow university administrators and staff to make better data-driven decisions, Livingston says. Today, they can analyze data and run reports on dashboards through data lakes using Snowflake on Amazon Web Services.

LEARN MORE: Effective AI requires effective AI data governance.

“Using that project as a lens through which to think about data governance allowed us to mature our data governance program — in particular around access management — and we can use AI initiatives in a similar way by helping us to continue to evolve our data governance programs,” Livingston says.

Since implementing generative AI tools, the university has created data use guidelines for each. Through its software license, Google has extended data privacy protections to its education users. As a result, the university allows campus users to use Google Gemini and NotebookLM.

“We’re talking to our community and doing a lot of listening about what gaps there are, so that we can come up with helpful guidance,” she says.

Overall, data governance is complicated, but universities can use their AI efforts to strengthen it, Livingston says.

“Data governance is really hard. So, sometimes, when you look at data governance through the lens of a particular initiative that’s strategic for your institution, it can help accelerate your path to maturity,” she says. “AI could act as a facilitator for a lot of institutions in maturing their programs.”

UP NEXT: Data management in higher education requires high-quality inputs.

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