DTS 308
Ethics and Legal Issues in Data Science
3
Course Description
At the end of the course, the students should be able to:
1. identify ethical challenges and considerations when working with data of various
sources, context, and compositions; and
2. contribute to global debates regarding best practices for handling sensitive data in
a way that avoids harm to data subjects, while also not eroding the utilities that
such data could present for various decision-making processes.
Course Outline
Legal and ethical consequences of applying Data Science. Current techniques such as Digital
Data Repositories and Digital Object Identifiers as well as FAIR principles for Open Science,
Open Data. Data ownership and transparency; privacy concerns and consent; and addressing
unintended bias. Topics: Legal aspects of data ownership and privacy concerns, Data
transparency, Ethical considerations for Data Science, Introduction to Data Repositories and
Digital Object Identifiers, Introduction to Open Science, Open Data, and Introduction to FAIR
data.