Special Topics in Information Science: Responsible Data Management

Program: MSIS/PhD
Course Areas
Data Science/Engineering/Analytics
Human Computer Interaction/UX Design/UX Research

Catalog Description

Explore common data collection, documentation, management, and sharing practices involved in the technology sector and research and information institutions. Students will examine the human, social, and ethical impact of these practices and work on group projects to design data systems that are centered around broader impact and social responsibilities. 

 

Instructor Description

This course will explore common data collection, management, and sharing practices involved in the technology sector and in research and information institutions. Drawing from library and archival science, computing, and Science and Technology Studies, Responsible AI,it offers a holistic view of data ecosystems and infrastructures. Students will examine the full data lifecycle, from the people who produce data, to the intermediaries who collect and document it, to the consumers who analyze and share it. Discussions center on emergent ethical issues about dataset management related to documentation, provenance, sovereignty, consent, deprecation, etc.
 
Students will also develop projects to review data practices, collect data, make data-driven decisions, and design data-informed systems as information and technology professionals. Projects will be tailored to students’ disciplinary background and no programming background required.  

 

Prerequisites

Graduate standing.

Restrictions

Enrollment is open to all eligible graduate students, including students from programs across campus,

A limited number of seats may be reserved for students participating in the Graduate Portfolio Program in Ethical AI.  Eligible students are advised to contact the instructor for consideration.

Current and Upcoming Classes for this Course

Class Name Semester Day(s) Start Time(s) End Time(s) Building Room
INF 385T: Special Topics in Information Science: Responsible Data Management

Hanlin Li

Fall Term 2026
  • Tuesday
  • 9:30 am
  • 12:30 pm
  • UTA
  • 1.502
INF 385T: Special Topics in Information Science: Responsible Data Management

Hanlin Li

Spring Term 2027
  • Tuesday
  • 9:30 am
  • 12:30 pm
  • UTA
  • 1.204

Past Classes for this Course

Class Name Semester Day(s) Start Time(s) End Time(s) Building Room
INF 385T: Special Topics in Information Science: Responsible Data Management

Hanlin Li Syllabus

Spring Term 2026
  • Monday
  • 9:00 am
  • 12:00 pm
  • UTA
  • 1.204
INF 385T: Special Topics in Information Science: Responsible Data Management

Hanlin Li

Spring Term 2025
  • Monday
  • 9:00 AM
  • 12:00 PM
  • UTA
  • 1.204
INF 385T: Special Topics in Information Science: Responsible Data Management

Hanlin Li Syllabus

Spring Term 2024
  • Wednesday
  • 12:00 PM
  • 3:00 PM
  • UTA
  • 1.208