NanoHistory (led by Matthew Milner, Memorial University) is digital history platform designed to allow historians and other scholars working with archival records to document and organize ‘what happened’ into machine readable open data which can be shared and visualized in numerous ways with other scholars, allowing them to see pathways and patterns through their evidence, and to aggregate and mobilize data from multiple projects.
At the Humanities Data Lab, we are processing the 30,000+ people, places, and events in the Lesbian and Gay Liberation in Canada project and the 970 authors in Bartlett’s Familiar Quotations to turn them into entities in the project.
