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Digital Humanities
Mark Locklear
Web/Systems Administrator
Adjunct Instructor
johnmlocklear@abtech.edu

@marklocklear
Roadmap
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Define Digital Humanities
Text Encoding Initiative (TEI)
Markup Languages
GIS (Geographical Informa...
What are the Humanities?
The study of human culture: Art, Literature,
History, Philosophy, Music, Social Sciences,
etc.
What is Digital Humanities
● The digital humanities is an area of
research, teaching, and creation concerned
with the inte...
Text Encoding Initiative
(TEI)
● An XML-based schema for marking up
texts
● Work began in 1987 with consortium
formed in 2...
The problems TEI
addresses
● Facilitate scholars’ access to textual data
● Make preservation easier by using an
open, flex...
Markup (Language)
Information about a
text that exists
alongside that text but is
distinct from the text itself.
“Old School” Markup
Defining Modern Markup
“A (document) markup
language is a modern
system for annotating the presentation and
formatting of ...
HTML Markup
Semantic Markup
• Separates document structure from
document display
• Asserts something about the nature of
each part of ...
XML Markup
Display vs. Structure
(HTML display tags vs. semantic tags)
<FONT>

<person>

<COLOR>

<location>

<SIZE>

<lastName>

<B>...
Examples
● http://www.wwp.brown.
edu/outreach/seminars/_current/handouts
/tei_samples/
The Swinburne Archive is a digital ...
Geographical Information
Systems (GIS)
● Allows for plotting of data points on a map
● Allows you see patterns you may not...
GIS Examples
● Altas of Early Printing
○ http://atlas.lib.uiowa.edu/
● Beyond Steel: Industry and Society in
19th and 20th...
Timelines
A linear representation of data; events,
pictures, video, ect.
●
●
●
●

http://www.timetoast.com/
http://timegli...
Other DH Tools
●
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●
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●

TEI
GIS
Omeka (LAMP)
Wordpress/DH
Custom
Data Visualization

Visual representation of information
that has been abstracted in some
schematic form.
Process of Data
Visualization
● Identify your data set
○ How large/small is the data set
○ What is the format
○ What is th...
What can DH do for you?
Academics
○ View data in new and interesting ways
○ Get your data online (accessible to the public...
Resources
● http://digitalhumanities.unc.edu
● http://digitalscholarship.wordpress.com/
● http://omeka.org/blog/2013/08/20...
TODO
●
Introduction to Digital humanities
Introduction to Digital humanities
Introduction to Digital humanities
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Introduction to Digital humanities

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In this workshop we will discuss the use of technology in the work of the humanities, also known as Digital Humanities (DH). We will discuss how faculty can us DH to archive historical documents, as well as how DH might be used to motivate students with different learning styles. For technologists, you will learn the tools many people are using to implement DH projects, and how you can help faculty think about historical data in the context of a DH project.

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Transcript of "Introduction to Digital humanities"

  1. 1. Digital Humanities Mark Locklear Web/Systems Administrator Adjunct Instructor johnmlocklear@abtech.edu @marklocklear
  2. 2. Roadmap ● ● ● ● ● ● ● Define Digital Humanities Text Encoding Initiative (TEI) Markup Languages GIS (Geographical Information Systems) Data Visualization Tools for Digital Humanities Questions
  3. 3. What are the Humanities? The study of human culture: Art, Literature, History, Philosophy, Music, Social Sciences, etc.
  4. 4. What is Digital Humanities ● The digital humanities is an area of research, teaching, and creation concerned with the intersection of computing and the disciplines of the humanities. ● Using technology to do the work of the humanities. ● http://docsouth.unc.edu/gtts/
  5. 5. Text Encoding Initiative (TEI) ● An XML-based schema for marking up texts ● Work began in 1987 with consortium formed in 2000 ● Currently in 5th major revision ● Formally endorsed by MLA & NEH
  6. 6. The problems TEI addresses ● Facilitate scholars’ access to textual data ● Make preservation easier by using an open, flexible, well-documented standard ● Supply a common format for representing knowledge about texts ● Overcome platform dependence and obsolescence
  7. 7. Markup (Language) Information about a text that exists alongside that text but is distinct from the text itself.
  8. 8. “Old School” Markup
  9. 9. Defining Modern Markup “A (document) markup language is a modern system for annotating the presentation and formatting of text that is separate from the text itself.”
  10. 10. HTML Markup
  11. 11. Semantic Markup • Separates document structure from document display • Asserts something about the nature of each part of the document, i.e., it labels components • No display or processing instructions, generally speaking
  12. 12. XML Markup
  13. 13. Display vs. Structure (HTML display tags vs. semantic tags) <FONT> <person> <COLOR> <location> <SIZE> <lastName> <B> <I> <U> <flightNumber>
  14. 14. Examples ● http://www.wwp.brown. edu/outreach/seminars/_current/handouts /tei_samples/ The Swinburne Archive is a digital collection devoted to the life and work of Victorian poet A. Charles Swinburne. ● HTML View ● Raw XML ● Timeline
  15. 15. Geographical Information Systems (GIS) ● Allows for plotting of data points on a map ● Allows you see patterns you may not otherwise recognize ● Tools are ARCGIS, Google Maps and openGIS
  16. 16. GIS Examples ● Altas of Early Printing ○ http://atlas.lib.uiowa.edu/ ● Beyond Steel: Industry and Society in 19th and 20th century LeHigh County, Pennsylvania ○ http://gisweb.cc.lehigh. edu/BeyondSteel/ ● Caribbean Cholera Map ○ http://caribbeancholera.org
  17. 17. Timelines A linear representation of data; events, pictures, video, ect. ● ● ● ● http://www.timetoast.com/ http://timeglider.com/ http://www.tiki-toki.com/ http://timeline.verite.co/ (jquery)
  18. 18. Other DH Tools ● ● ● ● ● TEI GIS Omeka (LAMP) Wordpress/DH Custom
  19. 19. Data Visualization Visual representation of information that has been abstracted in some schematic form.
  20. 20. Process of Data Visualization ● Identify your data set ○ How large/small is the data set ○ What is the format ○ What is the complexity ● Analysis of data ○ Does the data need to be aggregated ○ If so, what tools will we use to process it ● Visualize it ○ Identify what works for your dataset ○ It’s a process; wash-rinse-repeat
  21. 21. What can DH do for you? Academics ○ View data in new and interesting ways ○ Get your data online (accessible to the public) ○ Motivate students of different learning styles Technologists ○ Use your skills to solve interesting problems ○ Collaborate outside of technology ○ Use data in interesting ways
  22. 22. Resources ● http://digitalhumanities.unc.edu ● http://digitalscholarship.wordpress.com/ ● http://omeka.org/blog/2013/08/20/back-toschool-edition-use-omeka-in-your-class/
  23. 23. TODO ●
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