Digital Scholarship & Digital Humanities
Welcome!
Welcome to the University of Mississippi Libraries' Digital Scholarship (DS) and Digital Humanities (DH) guide! Whether you want to learn a new skill or sharpen an old one, this guide is designed to help you learn more about how digital tools and technology can be used to supplement traditional research. Take a look around to learn more about specific digital scholarship and digital humanities methodologies and resources that you can use to get started on your next digital project.
What is Digital Scholarship?
Digital Scholarship is broad term that denotes the use of digital tools and methods in traditional academic research for the purpose of
creating, analyzing, disseminating, and preserving scholarly work.
Examples:
- Creating a digital map of a historical event
- Digitizing an analog collection of photographs
- Creating a searchable archive of a digitized collection
- Using machine learning to analyze a large corpora of texts
What is Digital Humanities?
Digital Humanities combines traditional humanities research methods in disciplines such as literature, history, and art history with computational technology and methods. Digital humanists use digital tools and methods to explore, analyze, and present cultural, historical, and textual materials. Importantly, the digital tools and methods do not replace the traditional research methods but instead supplement and enhance them.
Examples:
- Mapping the intellectual influence of Montesquieu
- Visualizing the structure and relationships of the characters in a novel
- Analyzing a collection of letters to determine sentiment
Getting Started
To begin exploring, use the tabs located on the left side of the page.
The Data Visualization, GIS & Mapping, and Text Mining & Analysis tabs contain a detailed description of each methodology as well as a relevant tools, resources, and sample projects.
The Resources tab provides general recommendations relevant to DS & DH including a list of tools for data and project management, sample datasets, and resources for developing your technical skills.