Digital collections cohere related digitized primary sources with a scholarly apparatus, such as explanatory and / or pedagogical materials and analytical tools, in order to enable wider audiences to access, become aware of, and achieve insight into a historically significant topic and its materials.
Computational text analyses are a range of digital methods, often involving artificial intelligence, that automate (often) quantitative analyses of (often very large) textual datasets to facilitate pattern recognition and qualitative interpretation.
Computational network analysis uses software to analyze and visualize relationships within data, such as between historical persons and / or organizations, in order to facilitate inquiry into those relationships.