Annotate, Analyze, Interpret and Visualize. A tool for literary scholars, students and other parties with an interest in text analysis and literary research.
CollectionBuilder is an open source framework for creating digital collection and exhibit websites that are driven by metadata and powered by modern static web technology.
Supports large-scale computational analysis of the works in the HathiTrust Digital Library to facilitate non-profit and educational research. Requires account.
jamovi is a new “3rd generation” statistical spreadsheet. designed from the ground up to be easy to use, jamovi is a compelling alternative to costly statistical products such as SPSS and SAS.
MALLET is an open source, Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
Omeka S is an open source next-generation web publishing platform for institutions interested in connecting digital cultural heritage collections with other resources online.
OpenRefine (previously Google Refine) is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.
The Louie B. Nunn Center for Oral History at the University of Kentucky Libraries has created a web-based, system called OHMS (Oral History Metadata Synchronizer) to inexpensively and efficiently enhance access to oral history online. OHMS provides users word-level search capability and a time-correlated transcript or indexed interview connecting the textual search term to the corresponding moment in the recorded interview online.
GNU PSPP is a program for statistical analysis of sampled data. It is a free as in freedom replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions.
WordSeer is a text analysis environment that combines visualization, information retrieval, sensemaking and natural language processing to make the contents of text navigable, accessible, and useful.
George mason University Library LibGuides by Digital Scholarship Center consultants. Includes how to Find Data for Analysis, Learn Python for Data, Qualitative Research & Tools, and more.
These resources were created especially for undergraduate faculty and students. While any of ICPSR's data and tools can be used in the classroom, the ones provided here make it easy for instructors to set up data-driven learning experiences. The materials can be used as the basis for assignments, as an in-class or study exercise, for lecture content, or any other way you see fit.