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.
- For help starting a digital scholarship project or developing in-class instruction on a digital scholarship topic, contact firstname.lastname@example.org.
- For help with programming, data visualization, cleaning or analysis such as web scraping, contact OIT Data Science Support team.
- For help with data management planning, description, storage, and archiving, contact Research Data Management Support at email@example.com.
Text Data Mining
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 library databases have licensing already in place, but most require additional licensing and funds.
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.
A digital collection provides online access to digitized images, documents, artwork, audio-visual materials, and more. SMU Libraries’ Norwick Center for Digital Solutions (nCDS) provides instruction and consultation on digital collection projects using Omeka.net, CONTENTdm, SMU Scholar, and other online repositories.