+ Follow

Data visualization and digital humanities research

by Susan Smith

2,256 views

A presentation given at LITA National Forum 2011 in St. Louis. The presentation, by Erik Mitchell & Susan Smith, was about a project that was supported through a Wake Forest U Summer Technology ...

A presentation given at LITA National Forum 2011 in St. Louis. The presentation, by Erik Mitchell & Susan Smith, was about a project that was supported through a Wake Forest U Summer Technology Exploration Grant

Accessibility

View text version

Upload Details

Uploaded via SlideShare as Microsoft PowerPoint

Usage Rights

File a copyright complaint

8 Embeds 639

http://cloud.lib.wfu.edu	329
http://www.susansharplesssmith.info	113
http://erikmitchell.info	108
http://www.erikmitchell.info	77
http://technology.wfu.edu	9
http://paper.li	1
http://storify.com	1
http://webcache.googleusercontent.com	1

More...

Statistics

Likes: 2
Downloads: 21
Comments: 0
Embed Views: 639
Views on SlideShare: 1,617
Total Views: 2,256

Data visualization and digital humanities research Presentation Transcript

Data visualization and digital humanities research: a survey of available data sets and tools
LITA National Forum 2011
St. Louis, MO
Friday, September 30, 2011
Erik Mitchell, University of Maryland
Susan Sharpless Smith, Wake Forest University

Motivation
“Digital humanities needs gateway drugs. Kudos to the pushers on the Google Books team.”
- Dan Cohen http://www.dancohen.org/2010/12/19/
“Linked open data could have the same leveraging effect that the World Wide Web had on computing, said Micki McGee, an assistant professor of sociology at Fordham University”
-Steve Kolowich, The Promise of Digital Humanities, Inside HigherEd

Birth of a word
“Imagine if you could record your life, everything you said, everything you did available in a perfect memory store at your finger tips. “
- Deb Roy – The Birth of a Word http://www.ted.com/

Overview
Discuss examples of data-focused research tools
Explore tools
Consider roles for librarians
Wrap-up/Q & A

Taxonomy of uses

Searching and Discovery
Examples:
BYU Corpuahttp://corpus.byu.edu/
WOK Citation Mapping WOK

Visualization
Free Visualization Tools

Analysis and publishing
NodeXLhttp://nodexl.codeplex.com/

Tool Comparison - linguistics

Tool exploration
Discover / Search
What kinds of discovery tools exist and how common are the discovery features across different datasets / systems?
Visualization
What visualization features exist, are there products that are easy to use, are the skills transferable?
Analysis / Annotation
What analytical tools are included, what analysis techniques are common?

Perseus
http://www.perseus.tufts.edu

JSTOR Data For Research
http://dfr.jstor.org

Wordseer
AditiMuralidharan Marti Hearst
http://bebop.berkeley.edu/wordseer

Google’s Ngram Viewerbooks.google.com/ngramsculturomics.org
But here's the rub. Google Books, as others point out, wasn't really built for research. . . That means Google Books didn't come with the interfaces scholars need for vast data manipulation . . .
http://chronicle.com/article/The-Humanities-Go-Google/65713/

Ted talk on Google NGRAM viewer
http://www.ted.com/talks/what_we_learned_from_5_million_books.html

Concordancing
Eric Lease Morgan - http://dh.crc.nd.edu/sandbox/cyl/catalog/

Google’s public data explorer
http://www.google.com/publicdata/

Data analysis - NodeXL
http://nodexl.codeplex.com/
Analyzing Social Media Networks with NodeXL: Insights from a Connected World

Data cleaning – Google Refine
http://code.google.com/p/google-refine

Data visualization – Google Fusion Tables
http://www.google.com/fusiontables/DataSource?dsrcid=332788
http://google.com/fusiontables

Research/teaching need
Researcher needs vary from advanced linguistic analysis and IT support to need for basic digital content/infrastructure
Corpus-based research

Librarian contributions
Domain specific, tool-type specific comparisons
IT and research support – data analysis, data curation, tool/data sources identification
Shift from “reference” to “research” in sync with move from resource discovery to thematic analysis

Next steps
Build new skills, develop new systems
Create tutorials guides
Explore connections between data/curation and publishing and these tools – so is there a connection
Explore role of library discovery systems and consider new feature implementation.

Sites of interest