The novel aspect of Bernini’s Bronzes from a data science perspective is that the technical approach will generate multiple and heterogeneous data streams: XRF and ICP-MS-MS sampling data about metal alloy, petrographic analysis of core materials, precise 3D scans (especially important for the many multiple casts made from the same sculptural model), high resolution photographs for detailed analysis of tool marks, thorough visual examination, radiography of interior features, and archival documents that name founders, materials, weights, and other aspects of production. The project will generate a large amount of data of disparate forms. Data analysis is crucial to provide intellectual insight into this corpus of diverse data types. The challenge arises from difficulties associated with cleaning and fusing the disparate sources into a single corpus amenable to analysis. Analysis will help us group objects, attribute works to specific foundries, and generate what we anticipate will be unexpected answers to fundamental questions posed by the project.  It is an equally important goal of the project to assess, with the help of computational analysis, the relative value of each data source for the understanding of the origins and makers of bronze casts.