Digital Scholarship

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. 

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. 黑料老司机Libraries’ Norwick Center for Digital Solutions (nCDS) provides instruction and consultation on digital collection projects using Omeka.net, CONTENTdm, 黑料老司机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. See the .

Thanks to the generous support of 黑料老司机Libraries and OIT, this program is free to all participants.

The DHRI Philosophy 

We believe that all participants are experts in something, but none are experts in all areas. By fostering a collaborative, interdisciplinary environment where humanities research questions, methods, and values are most significant, we work to build a cooperative learning experience. We have established an approach that leverages participants' strengths, disciplinary interests, and research interests. DHRI emphasizes foundational skills because we believe that it is the most effective path toward enabling digital humanities researchers to become self-teachers and mentors. This leads to second-and third-order effects as participants teach themselves and others, and provides a common vocabulary, skill set, and experience from which to form future collaborations.

Learn More from Research Guides