Study

In an age where nearly every organization collects and uses data, lawyers must be data-savvy. Modern data challenges ask clients to navigate legal, technical, and mission considerations, often all at once. Machine learning and artificial intelligence add still more questions, even as organizations race to realize data’s potential.

This course focuses on data governance: how organizations and communities make decisions about data, code, and their missions, and the wide-ranging impact of those decisions. Students will learn about three foundational data governance models: how companies protect and manage access to data; how data is shared and reused for research purposes; and how public datasets are assembled and managed. The course will feature simulations and interactive exercises to help students apply these models and skills to real-world scenarios.

At the end of the class, students will gain an understanding of how the law defines and regulates data, and how regulatory frameworks for data differ from field to field. They will also gain foundational knowledge in organizational and multi-stakeholder governance, and how good governance principles might apply to data. Finally, they will gain experience designing and applying governance models for organizations and multi-stakeholder collaborations.

No technical background is necessary to take this class. The first few weeks will include an introduction to data, databases, and governance best practices. 

Spring 2025

Course Number	Course Credits	Evaluation Method	Instructor
475A.01	Course Credits 2	Simulated Writing, Transactional Reflective Writing Group project(s) Class participation	Keith Porcaro
Canvas site: https://canvas.duke.edu/courses/53560