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go.cal.msu.edu/dhintroslides

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Getting Started in the Digital Humanities:

Beginner Tools

Fall 2016 Digital Humanities Workshop Series

digitalhumanities.msu.edu | #msudh

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What is Digital Humanities?

presented in digital form (s)	enabled by digital methods and tools	about digital technology and culture	building & experimenting with digital technology	critical of its own digitalness

Humanistic Scholarship that is ...

Josh Honn, “Never Neutral: Critical Approaches to Digital Tools & Culture in the Humanities.” Last accessed September 9, 2014

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Points of Contact


Kristen Mapes kmapes@msu.edu	Devin Higgins Megan Kudzia Marco Seiferle-Valencia Scout Calvert dsc@mail.lib.msu.edu	Brandon Locke Alice Lynn McMichael blocke@msu.edu mcmich17@msu.edu

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Points of Contact

digitalhumanities.msu.edu

lib.msu.edu/dh

leadr.msu.edu

dh.cal.msu.edu

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People

digitalhumanities.msu.edu/people

Don’t see yourself here? Add yourself: go.cal.msu.edu/dhpeople

#msudh

msudh.slack.com/signup

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Upcoming Events

September	October	November	December
9/20: Workshop (Git and GitHub for Humanities)	10/5: Workshop (Visualizing Data with Tableau) 10/26: Workshop (3D Modeling with Photogrammetry)	11/15: Workshop (Brief Introduction to Topic Modeling)	12/1: LOCUS (Modeling)

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Conferences

Network Detroit 2016	Reading Redefined, Lansing, MI (at LCC)	2016 Midwest Data Librarian Symposium Ann Arbor, MI	Meaningful Play 2016 MSU	MSU Global DH Symposium
9/30/2016	9/30/2016	10/17 - 10/18/2016	10/20 - 10/22/2016	3/16 - 3/17/2017

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Workshop Outline: 9/8/2016

What is DH? (Alice Lynn McMichael)
Resources at MSU (Megan Kudzia)
Voyant (Kristen Mapes)
Palladio (Brandon Locke)
Data Sources (Devin Higgins)

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Workshop 9/8/16: Goals

Load and export text, apply stop lists, and examine words trends (Voyant)
Use data to construct basic network and geospatial visualizations (Palladio)
Find humanities data in the library, or know whom to ask for help (Data sources)

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Voyant

Text analysis

Word frequencies
Keywords In Context

Examine 1 text or a corpus
Export data
Free & browser based

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voyant-tools.org

Find documents at:

tinyurl.com/douglassworkshop

Guide for using Voyant (version 2): voyant-tools.org/docs/#!/guide/about

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Palladio: Spatial & Network Viz

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Palladio: hdlab.stanford.edu/palladio/

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Palladio: hdlab.stanford.edu/palladio/

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Palladio | When it’s right for you

You have structured data (spreadsheets)
Your data has lots of attributes and facets
Want to visualize time, space, and/or relationships
You want to do a fairly quick, preliminary analysis of data�

From Miriam Posner: github.com/miriamposner/palladio_workshop

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Palladio | When it’s wrong for you

You have unstructured data (text, video, images without much metadata)
You want to count things
You want complex analysis and customization
You want interactive visualizations�

From Miriam Posner: github.com/miriamposner/palladio_workshop

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Palladio: Cushman-Collection-condensed.csv

Data from Miram Posner (github.com/miriamposner/palladio_workshop) | Collection at Indiana Univ Library (github.com/iulibdcs/cushman_photos)

download this data at bit.ly/msudhcushman

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Palladio

Download the Cushman data at:

bit.ly/msudhcushman

then head to

hdlab.stanford.edu/palladio/

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lib.msu.edu/dh/humdata

unstructured text

metadata

CSV

JSON

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Unstructured Data

Chapters
Paragraphs
Sentences
Words
English language

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Born-Digital vs. OCR

Born-Digital

Text typed, copied, or otherwise entered as text into a computer.

OCR (Optical Character Recognition)

Text generated by an automated attempt to “read” each character in an image of text.

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lib.msu.edu/dh/humdata

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library originated data

purchased data

negotiated data

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subsetter

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Digital Humanities Data

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Top Languages in Google Books Dataset

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Ask Us About Data

We can work with publishers/vendors on your behalf.

Coming soon,

Datasets from Gale:

Sabin Americana: 1500-1926
Selections from Archives Unbound
Selections from Slavery and Anti-Slavery: A Transnational Archive

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lib.msu.edu/dh/humdata

unstructured text

metadata

CSV

JSON

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Library Catalog Record Page

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Author (Corporate)

Title

Publication

Subject

MARC Record,

MARCXML Format

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Type of Record

Bibliographic Level

...

Date 1

Date 2

Place of Publication

Presence and type of Illustrations

Form of Item

Nature of contents

Government Publication

Literary Form

Language

...

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NYPL Labs Subject Heading Network

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lib.msu.edu/dh/humdata

unstructured text

metadata

CSV

JSON

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CSV (Comma/Character) Separated Values

NAME,TYPE,COLOR

cherry,fruit,red

banana,fruit,yellow

carrot,vegetable,orange

eggplant,vegetable,purple

lime,fruit,green

JSON JavaScript Object Notation

{'fruit': [{'color': 'green', 'name': 'lime'},

{'color': 'yellow', 'name': 'banana'},

{'color': 'red', 'name': 'cherry'}],

'vegetable': [{'color': 'purple', 'name': 'eggplant'},

{'color': 'orange', 'name': 'carrot'}]}

Usable by any spreadsheet program
Has a simple, readable structure
Stored as plain-text file

Allows for nested structure
Can provide “lookup” functionality.
Can be read by all programming languages; used by many tools

CSV and JSON

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Humanities Data Page: http://lib.msu.edu/dh/humdata

Alan Liu’s DH Datasets Page:

http://bit.ly/YwUt81

Contact Us:

https://www.lib.msu.edu/dh/

Where to Find Data

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Thanks! Feedback?

go.cal.msu.edu/survey