–  voyant-tools.org

Provides word cloud, other tools for sorting and viewing key words.

– DH Press, UNC: digitalinnovation.unc.edu/projects/dhpress/

– visualizingtheredsummer.com

– www.theclio.com

– curatescape.org

Walking tours.

– openrefine.org

“A power tool for working with messy data.” Use for information in a spread sheet that needs to be cleaner.

– docker.com-> hub.docker.com

Can be used to explore other tools.

– thingiverse.com

3D maker

– http:// mapalist.com

Creates a map from a google spreadsheet.

– feedburner.com

Automatic tweets. RSS feed.

-palladio Stanford

– dataverse.org

Save and share data with others.

What is an API?

– API stand for Application Programming Interface

– allows software to interact with a website

– API calls consist of requests and response of structured data

Example: Twitter

– Collect tweets:

1) User timeline: GET statuses/user_timeline; gets most recent tweets posted by a year, limited to last 3,200 tweets, returns 200 at a time, so must page, rate limit: 900 tweets per 15 minutes. Examples: Collect individual news organizations, individual members of congress.

2) Search: GET search/tweets; search recent tweets (sample of tweets from last 7 days), returns up to 100 at a time, so must page, not the same as search on Twitter website, rate limit: 180 tweets per 15 minutes. Example: Get tweets from an event.

3) Filter Stream: POST statuses/filter; Real-time filtering of all public tweets; continue to receive additional tweets over a single call to API. (No paging.) Limits: when high volume, will not receive all tweets. One stream at a time per set of credentials. Example: Women’s March.

– You can never assume that you have all the data.

– Resources for Twitter data: DocNow (Tweet Catalog); TweetSets

-According to Twitter’s terms, you cannot share the complete tweets, you have to share the tweet IDs.

-Once a tweet has been deleted, it cannot be shared.

-How do you collect twitter data?

Twarc: github.com/docnow/twarc

Twurl: github.com/twitter.twurl

Social Feed Manager: go.gwu.edu/sfmgw

Tags: tags.hawksey.info

Example: Facebook

– Graph API Explorer

– JSON

– collect by node.

– can only collect public pages

Different Strategies to teaching DH

– Transcribing: convey to students that all internet content is created; National Archives-Citizen Archivist; assign students to transcribe documents for a specific project

– Start with the History of Computers; What is Data?; Spatial, Network, and Text Analysis; Final             Project: Write an NEH Grant

– Research v. Skills Oriented

– Collaborative Independent Study: History and Computer Science

– Method and content: One day of the week devoted to DH theory and historical content, the      other day devoted to hands-on work at computer/labs.

How do you measure progress?

–  Blog posts

– Group projects: rubric, students can see each other’s work for comparison; have students         evaluate themselves and their group members; students keep individual log books

How do you sell a DH course?

-part of another course: “digital” and “theory” in course title deters student enrollment

– class marketed as digital history, class theme introduced in the course

Resources

– programminghistorian.org

– flowingdata.com

– Exploring Big Historical Data: The Historian’s Macroscope Shawn Graham, Ian Milligan, Scott Weingart

– Using Digital Humanities in the Classroom Claire Battershill and Shawna Ross

– miriamposner.com

– dhbox.org

– Summer institutes: neh.gov.divisions/odh/institutes