Digging into data using new collaborative infrastructures supporting humanities-based computer science research

Michael Simeone, Jennifer Guiliano, Rob Kooper, Peter Bajcsy


This paper explores infrastructure supporting humanities–computer science research in large–scale image data by asking: Why is collaboration a requirement for work within digital humanities projects? What is required for fruitful interdisciplinary collaboration? What are the technical and intellectual approaches to constructing such an infrastructure? What are the challenges associated with digital humanities collaborative work? We reveal that digital humanities collaboration requires the creation and deployment of tools for sharing that function to improve collaboration involving large–scale data repository analysis among multiple sites, academic disciplines, and participants through data sharing, software sharing, and knowledge sharing practices.


authorship; collaboration; image data

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DOI: https://doi.org/10.5210/fm.v16i5.3372

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