Recently, Paul Jaskot identified three dominant areas in which digital methods and art history can productively converge: large-scale queries via big data, network analysis, and spatial analysis. Indeed, the study of the art market through the provenance of works represents a domain of art history in which large-scale study, network analysis, and spatial analysis can seriously assist research. The “Modern Migrants: Paintings from Europe in US Museum Collection” project at Leuphana University Lüneburg aims to digitally collect and structure data on modern paintings from Europe in American museums, which have been at the forefront of publishing provenance on a large scale online. The project's ultimate aim is to analyze this data to generate knowledge about art markets, the circulation of artworks, and other networked aspects of art history.