creating and processing digital humanities data
DESCRIPTION
A short bio and introduction to some issues creating and processing digital humanities data.TRANSCRIPT
Creating and Processing Digital Humanities Data
Angela Zoss Data Visualization Coordinator
Data & GIS Services, Research Computing
First, a confession…
• Studies: Cognitive Science, Communication, Information Science, Computer Science
• Sample projects: – tracking jobs by discipline – visualizing social presence in museums – analyzing communication patterns on a listserv
First, a confession…
• Studies: Cognitive Science, Communication, Information Science, Computer Science
• Sample projects: – tracking jobs by discipline – visualizing social presence in museums – analyzing communication patterns on a listserv
• Studies: Cognitive Science, Communication, Information Science, Computer Science
• Sample projects: – tracking jobs by discipline – visualizing social presence in museums – analyzing communication patterns on a listserv
First, a confession…
• Studies: Cognitive Science, Communication, Information Science, Computer Science
• Sample projects: – tracking jobs by discipline – visualizing social presence in museums – analyzing communication patterns on a listserv
• Studies: Cognitive Science, Communication, Information Science, Computer Science
• Sample projects: – tracking jobs by discipline – visualizing social presence in museums – analyzing communication patterns on a listserv
People
Digital Objects
Data… usually for visualization
http://guides.library.duke.edu/datavis/
JUST A FEW ISSUES
Humanities data may not be digital
Humanities data may not be digital
Conversion from phenomena to digital representation is perilous; may need to make choices when not all possible options are known.
Preservation may be an issue
http://www.scottbot.net/HIAL/?p=80
Example: how do historical things end up on the internet?
Preservation may be an issue
http://www.scottbot.net/HIAL/?p=80
Preservation may be an issue
http://www.scottbot.net/HIAL/?p=80
Tools become obstacles
• Limited consistency across tools • Cross-platform problems • Not designed for humanities’ questions/data – Do not support complexity/uncertainty – Do not facilitate collaboration – Prioritize different types of outputs