Digital Humanities

The purpose of this guide is to provide an introduction to the concepts, history, methodologies, and tools of digital humanities. Digital humanities is a broad term that encompasses multiple disciplines within the humanities, including history, art history, African and African American studies, women and gender studies, English language and literature, writing and rhetoric, and more. At the most basic level, digital humanities simply refers to the use of digital tools and methods to further scholarship. At its more complex, digital humanities involves reimagining the way we approach sources and data, research, narrative, and the publication and interpretation of scholarship.

Please see the following infoguides for additional help with your digital humanities project or work of digital scholarship. 

• Working with Data. This guide takes users through the basics of using a computer, file management, data cleaning, and coding.
• Text and Data Mining Sources. This guide explains where to find resources available for text and data mining, including text collections, historic newspaper and text data, and social media data. 
• Text Analysis Tools. Learn how to text mine using a variety of methods and tools, including Social Feed Manager, Voyant, Google Ngram Viewer, and OpenRefine. 
• Data Visualization. Learn about data visualization, including getting started, planning, the different types, tips and tutorials, and visualization software and tools. 
• Humanities GIS. For those interested in Geospatial Information Systems (GIS), this guide is a useful starting point for learning about how GIS is used in the humanities, historical GIS data and maps, tools and software, and citation guidelines. 
• Geospatial Data & GIS. Another guide to help you learn more about GIS. Learn about where you can find geospatial data, workshops and tutorials, software and tools, and creating a web map.
• Omeka Classic. View Omeka Classic projects, and learn how to install Omeka Classic, add an item, and create an exhibit. 
• Learn R. If you are interested in learning and applying R to your digital humanities project, this guide will point you to useful tutorials, statistical analysis in R, packages to install and load for data management and graphics, and best practices when programming in R.
• Software for Digital Scholarship. Find detailed information on statistical, geospatial, qualitative, and quantitative software that is used in digital scholarship.