The Collections as Data Framework: A Review from the Always Already Computational Project

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dc.contributor.authorAllen, Laurie
dc.contributor.authorFrost, Hannah
dc.contributor.authorPadilla, Thomas
dc.contributor.authorPotvin, Sarah
dc.contributor.authorRoke, Elizabeth Russey
dc.contributor.authorVarner, Stewart
dc.date.accessioned2019-06-25T21:56:38Z
dc.date.available2019-06-25T21:56:38Z
dc.date.issued2019-05-23
dc.descriptionPresented by Texas A&M University, 5B | Digital Humanities, at TCDL 2019.en_US
dc.description.abstractThe IMLS-sponsored Always Already Computational: Collections as Data project (2016-2019) sought to establish a framework for cultural heritage institutions to make their collections accessible for computational use. The project team ran two national forums on the topic, bringing together practitioners and researchers, and ran programming on the topic at more than a dozen professional conferences, seeking feedback from journalists, technologists, digital library practitioners, historians, and others. This presentation will (1) introduce the concept of and rationale behind collections as data; (2) describe resources developed over the course of the project to guide community implementation and critique; (3) discuss the project's findings and recommendations. [A note for the program committee: if you think this topic would be better suited for a workshop, please let me know]en_US
dc.identifier.urihttps://hdl.handle.net/2249.1/156364
dc.language.isoen_USen_US
dc.publisherTexas Digital Libraryen_US
dc.titleThe Collections as Data Framework: A Review from the Always Already Computational Projecten_US
dc.typePresentationen_US

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2019 Texas Conference on Digital Libraries