Finding, Organizing, and Analyzing Sources
Working with Non-Textual Sources
Introduction to Visualizations
Introduction to Spatial History and Mapping
Introduction to Text and Data Mining
Trends in Scholarly Communication

Finding, Organizing, and Analyzing Sources

• Zotero, http://zotero.org
• Tin Eye, http://tineye.com
  Omeka, http://omeka.org
• Thing Link, http://thinglink.com

Working with Non-Textual Sources

• Atube Capture, Atube Capture
• Animoto, Animoto
• Opensource audio: Audacity
• Podcast plugin for your WordPress blog:http://wordpress.org/plugins/podpress/
• Scalar, http://scalar.usc.edu/

Introduction to Visualizations

• Thing Link, http://thinglink.com
• Wordle, http://www.wordle.net/
• ViewShare: http://viewshare.org
• Many Eyes, http://www-958.ibm.com/software/analytics/manyeyes/
• Tabula, http://tabula.nerdpower.org

Introduction to Spatial History and Mapping

• Story Maps JS, StoryMapsJS
• Google Maps, http://maps.google.com
• Google Fusion Tables,https://support.google.com/fusiontables/answer/2571232
• D3
• World Map Warp, http://warp.worldmap.harvard.edu/

Introduction to Text and Data Mining

• n-Gram Viewer, https://books.google.com/ngrams/
• Bookworm,  http://bookworm.culturomics.org/
• Voyant Tools, http://voyant-tools.org/
• Overview, http://overview.ap.org/
• Topic Modeling in the Browser, http://mimno.infosci.cornell.edu/jsLDA/

Trends in Scholarly Communication

• Twitter, Twitter
• Feedly, Feedly
• WordPress, and WordPress Documentation for using the admin panel
• Feed WordPress, https://wordpress.org/plugins/feedwordpress/
• PressForward plugin, http://pressforward.org/
• CommentPress, http://futureofthebook.org/commentpress/
• Anthologize, http://anthologize.org/
• Commons in a Box, http://commonsinabox.org/