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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. 

Cohort Opportunities for AI and Research

ÃÛÌÒ½´Libraries hosts faculty and graduate student cohorts to explore the impact of AI on research and teaching. Through programs like the AI for Research Cohort and the AI and Research Assignments Cohort, participants provide feedback and develop practical skills for addressing AI in their teaching and scholarship.

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. ÃÛÌÒ½´Libraries’ Norwick Center for Digital Solutions (nCDS) provides instruction and consultation on digital collection projects using Omeka.net, CONTENTdm, ÃÛÌÒ½´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