Data Ethics Repository

Open-Education Resource

The Data Ethics Repository is an open-education resource developed to broaden understanding and foster dialogue in the field of data ethics. Graduate students at the Institute for Advanced Analytics at NC State University collected resources about data ethics and reviewed them as part of their assignment for their Ethical Considerations for Data Professionals class. Instead of just submitting their reviews for a grade, the Data Ethics Respository is meant to be shared and used by other data professionals (and aspiring data professionals). Dr. Sarah Egan Warren guides the students to select meaningful resources and provide helpful reviews about the content.

This resource was made possible by a grant from the
Alt-Textbook Project from NC State University’s Libraries.

Started by Lesa Bressabelli as her master’s of science in technical communication capstone project, the Data Ethics Respository has grown to include submissions from the classes of 2023 and 2024 from the Institute for Advanced Analytics thanks to the work done by Skyler Meeks, Hiya Bandyopadhyay, and Macayla Gonzales.

The reviews about each resource in the Data Ethics Repository come from the students. Students contribute their own opinions and experiences. Ideas, concepts, topics, and opinions are solely that of the students and do not necessarily reflect the views or opinions of the Institute for Advanced Analytics and/or NC State University.

800+ Resources

Relating to data ethics

2 years
(and counting)

of student work

15+

different topic categories

What We
Offer

Our repository offers an extensive collection of resources including scholarly articles, engaging multimedia content, and practical case studies. These resources cover a wide range of topics related to data ethics, curated to support learners at all levels.

Users can explore the existing categories or search on specific topics of interest. Each entry includes the link to the original source, author, publisher, year, and brief summary written by an analytics graduate student.

Ideas for Instructors

  • Students create their own curated list of resources to share within your class/major/department
  • Students search for relevant topics and explore the resources
  • Students use generative AI to create a summary and compare it to the summaries in the repository
  • Students analyze data ethics repository based on their topic of interest
  • Students create their own ethical framework based on the resources
  • Students visualize a timeline of the changes in generative AI during the last two years
  • …