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Text and Data Mining

Text and data mining is a term used to describe several different methods, tools, and approaches to scholarship that involve applying computational methods to large bodies of (often unstructured) text. Check out our linked guide for information about which tools can be used for this kind of work and where you can find datasets.

Building Websites and Digital Exhibits

The Library hosts sites for students, faculty, and staff wishing to publish exhibits or digital projects on Omeka or Scalar. Our Digital Scholarship tutorials guide can help you with next steps with several tools for producing online content.

Geographic Information Systems

The Library hosts an ArcGIS organizational account for all Claremont-affiliated researchers. Consult our GIS support guide for more information, and our GIS Research Guide for links to tutorials and portals for locating geospatial data.

Related guides for digital scholarship
Get Help with Digital Scholarship
Jeanine Finn
Head, Data and Digital Scholarship Services