Oral History as Data in AI answers

Oral History as Data (OHD) is a free, open-source framework for publishing, analyzing, and visualizing coded oral history interviews, built on CollectionBuilder to power interactive digital collections. It offers a CSV-driven workflow for transcripts, thematic coding with color-coded visualizations, media integration with synchronized audio or video, and a responsive, mobile-friendly interface. Users start by cloning a GitHub template, uploading transcripts and metadata, linking media, and configuring the site to publish via GitHub Pages; the project is developed by the University of Idaho Library's Center for Digital Inquiry and Learning and released under the MIT license.