Course overview
The course develops a framework to understand the ethical issues of collecting and managing data sets. We examine how data are ethically used in society, and the impact of unethical practice. The course covers aspects of data ownership, privacy, anonymity, validity and fairness. The FAIR Data Principles (Findable, Accessible, Interoperable, Reusable) are introduced as a management strategy for thinking about sharing data in a way that will enable maximum use and reuse.
Course learning outcomes
- Aware of the ethical issues of collecting and managing data sets
- Understand how data can be used in an ethical ways to make decisions
- Aware of basic tenets of data management, including the FAIR Data Principles (Findable, Accessible, Interoperable, Reusable)
- Investigate discipline-based data-analytic issues that have major ethical implications
- Develop communication skills using blogs, web-pages, embedded videos and podcasts