Workshop 1–Data Analysis for Historians
Lincoln Mullen, a Ph.D. candidate at Brandeis University, has agreed to repeat the hands-on workshop on using statistical programs to analyze data sets relevant to humanities scholars that he offered at THATCamp AAR in November 2013. Mullen has also agreed to hold a kind of THATCamp office hours after his workshop, where he’s agreed to work one on one with interested campers. Thanks, Lincoln!
Humanities scholars now have access to a range of data sets and techniques for analyzing them that were previously regarded as the province of scholars in other disciplines. In this workshop, we’ll try our hands at a couple forms of analysis, using data sets of interest to scholars of religion. We will make maps from the missions of the Paulist Fathers and do some quantitative analysis of religious demographic data. By bringing these common kinds of data analysis together, we will learn the basic practices and theories which underlie all of them. Of course we will have occasion to discuss what data analysis means from a humanistic perspective. During this workshop we will get hands-on with the statistical programming language R. While there are many tools to make maps, mine texts, and analyze numbers, R is especially powerful because it can perform all of these types of analysis. R is a favorite tool of academics, Google, and the New York Times, so it has strong support. You are encouraged to install R (the programming language itself) and the desktop version of R Studio (a tool to help you use R) in advance. Self-starters can watch some of Google’s video introductions to R to acquire the basics. While you will benefit from learning some of the theory behind the analysis even without using R, there is no substitute for performing the analysis yourself, and you’ll pick up the basics of a powerful digital humanities tool.
Patrick Murray-John, Research Assistant Professor at the Roy Rosenzweig Center for History and New Media at George Mason University, has agreed to offer an Omeka workshop at THATCamp AHA2014. Thanks, Patrick!
Omeka is a simple system used by scholarly archives, libraries, and museums all over the world to manage and describe digital images, audio files, videos, and texts; to put such digital objects online in a searchable database; and to create attractive web exhibits from them. In this introduction to Omeka, you’ll create your own digital archive of images, audio, video, and texts that meets scholarly metadata standards and creates a search engine-optimized website. We’ll go over the difference between the hosted version of Omeka and the open source server-side version of Omeka (we’ll work from the server version), and we’ll learn about the Dublin Core metadata standard for describing digital objects. We’ll also look at some examples of pedagogical use of Omeka in humanities courses and talk about assigning students to create digital archives in individual or group projects.