475A.01 Law & Policy Lab: Data Governance

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. 

Fall 2023

Course Number Course Credits Evaluation Method Instructor
Course Credits
Simulated Writing, Transactional
Reflective Writing
Group project(s)
Class participation
Keith Porcaro
Sakai site: https://sakai.duke.edu/portal/site/LAW-475A-01-F23
Email list: LAW-475A-01-F23@sakai.duke.edu
Degree Requirements
Course Requirements - JD
Course Requirements - JD-LLM-LE
Course Areas of Practice
Course Areas of Practice