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Digital scholarship applies digital tools and computational methods to traditional scholarship, engendering additional methodologies and new forms of publication and collaboration. Common methods include text data mining, textual analysis, network analysis, geospatial analysis, and digital archiving. Explore tools and methods for your research, including digital tools and computational methods to enrich traditional scholarship. 

AI for Research Faculty Cohort

ҹɫÍõ³¯Libraries invited faculty from all disciplines to join an interdisciplinary cohort to explore AI tools designed for academic research. Participants received a $500 stipend, plus $100 to cover three months of Pro licenses for Elicit and Undermind. Learn more about the cohort and how our faculty is helping shape how AI tools are understood and used in academic research.

Text Data Mining

is the application of computational methods to analyze a large set of texts to discover patterns and trends. Using library databases for text data mining requires specific licensing. Some in place, but most require additional licensing and funds. Learn more about acquiring research data.

Digital Collections

A digital collection provides online access to digitized images, documents, artwork, audio-visual materials, and more. ҹɫÍõ³¯Libraries’ Norwick Center for Digital Solutions (nCDS) provides instruction and consultation on digital collection projects using Omeka.net, CONTENTdm, ҹɫÍõ³¯Scholar, and other online repositories.

Digital Humanities Research Institute (DHRI)

Digital Humanities Research Institute (DHRI) is an annual series of workshops that introduce participants to skills such as digital humanities coding, project planning, and the use of data in the humanities, in a collaborative, interdisciplinary environment. See the . 

Learn More from Research Guides