After completing this resource, learners should be able to:
Know when and how to anonymise personal data
Understand the relationship between copyrights and textual data
Discuss the benefits of categorisation and structure ethics
Outline the purpose of data processing ethics
Abstract
When producing and processing humanities data, very often deal with information about people – unlike in for example physics or chemistry, the primary subjects of our research may be thinking, feeling beings, and that means that we have significant ethical and moral considerations in how we go about our data projects. This resource will detail methods and techniques developed to create and process datasets without compromising ethics.
Title of the resource
Data and Databases: Data Ethics
Resource type
None
Authors, editors and contributors
Emily Genatowski, James Baille
Topics (keywords)
Data, Databases
Learning outcomes
After completing this resource, learners should be able to: Know when and how to anonymise personal data Understand the relationship between copyrights and textual data Discuss the benefits of categorisation and structure ethics Outline the purpose of data processing ethics
Abstract
When producing and processing humanities data, very often deal with information about people – unlike in for example physics or chemistry, the primary subjects of our research may be thinking, feeling beings, and that means that we have significant ethical and moral considerations in how we go about our data projects. This resource will detail methods and techniques developed to create and process datasets without compromising ethics.
Chapter 10 Data Ethics.pdf