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Final Report --- Always Already Computational: Collections as Data

Padilla, Thomas; Allen, Laurie; Frost, Hannah; Potvin, Sarah; Russey Roke, Elizabeth; Varner, Stewart

From 2016-2018 Always Already Computational: Collections as Data documented, iterated on, and shared current and potential approaches to developing cultural heritage collections that support computationally-driven research and teaching. With funding from the Institute of Museum and Library Services, Always Already Computational held two national forums, organized multiple workshops, shared project outcomes in disciplinary and professional conferences, and generated nearly a dozen deliverables meant to guide institutions as they consider development of collections as data.  

This report documents the activities and impacts of the Always Already Computational project, delineates findings, and identifies areas for further inquiry.

This publication is part of the Collections as Data Framework hosted at https://osf.io/mx6uk/.

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