Preparing Graduate Students for the Ethical Challenges of Big Data

In collaboration with graduate deans, experts in big data, and practitioners of research integrity education, CGS and PERVADE (Pervasive Data Ethics for Computational Research) embarked on a project to understand challenges and opportunities in preparing graduate students for the ethical challenges of research using large datasets. A 2021 convening explored current perceptions of need around graduate training and identified action steps with the potential to expand current approaches to research training. Our work resulted in a report, Preparing Graduate Students for the Ethical Challenges of Big Data. The project was made possible with generous funding from the Office of Research Integrity (ORI) and Elsevier.

The report provides recommendations for graduate institutions seeking to expand and improve their research training.

This publication was supported by Award No. 6 ORIIR190054-01-02 from the Office of Research Integrity. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of ORI.

In addition, the three plenary speakers for the conference were recorded and are available to view at the links below:

• “The Challenge of Training in Big Data Ethics: Why is it Hard?” by Michael Zimmer (Marquette University)
• “The Challenge of Training in Big Data Ethics: What Resources are Available or are Needed?” by Casey Fiesler (University of Colorado)
• “Expanding Graduate Training in RCR: Big Data Ethics” by Thomas Jeitschko (Michigan State University)

A CGS Collaboration with:

Project Funders: