This two week workshop provides a hands-on introduction to a range of useful tools, methods, and concepts for managing, organizing, cleaning, and processing data in digital humanities projects. Sessions will cover information organization, data modelling, data quality and cleaning, and workflows. Participants will be introduced to humanities data from a selection of real-world digital humanities projects, and these datasets will serve as case studies for tools introduced in the course.
The course is aimed at humanities researchers and may be of interest to librarians, archivists, cultural heritage specialists, information professionals, and advanced graduate students.
Syllabus
Week One
- introduction to humanities data
- data creation and collection basics
- data quality
- data cleaning
- data integration
- exploratory data analysis and visualization
Week Two
- further exploratory data analysis and visualization
- data transformation
- data management
- data curation profiles
- workflows