
Toby Higbie, History, needed to clean a digital copy of the American Labor Who’s Who. He used Optical Character Recognition (OCR) to identify letters, but the data was jumbled and required organization for better visualizations of relationships among movement leaders.
The HumTech staff applied their scripting expertise to automate the cleaning process and assisted with manual cleaning where needed. They also provided instructional tech support when Professor Higbie involved his undergraduate students in the project to teach them about historiography. Additionally, they explored linking individuals in the dataset to the Virtual International Authority File (VIAF) to facilitate connections for other scholars.