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DIGITAL MANUSCRIPT INTEROPERABILITY SharedCanvas and IIIF in Practice Benjamin Albritton Digital Manuscript Product Manager blalbrit@stanford.edu @bla222
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Summary: 2010-2013 Funding from Andrew W. Mellon Foundation Initial meeting of scholars and curators – Paris, 2010 Digital Manuscript Technical Working Group – 2010-pres. Data Model: SharedCanvas Data Sharing Framework: IIIF (International Image Interoperabiity Framework)
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DMSTech and IIIF Bibliothèque nationale de France British Library Oxford University Stanford University Johns Hopkins University University of Fribourg (e-codices) Saint Louis University (T-PEN) Drew University (DM) TextGrid Los Alamos National Laboratory Yale University Harvard University Cambridge University ARTstor Cornell University Princeton University Walters Art Museum National Library of Norway The National Archives (UK) … and more
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Interoperability – One Definition Primary Goal: Image and metadata sharing across collections and institutions “Killer app”: a single viewer that reads content from multiple repositories
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Imagine an image viewer…
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With content from any repository…
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That lets scholars compare…
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And investigate in detail…
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http://iiif.io/mirador/
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Synopsis Two primary motivators Comparative viewing of images Viewing of annotations Part of the current Stanford-led Mellon grant for Digital Manuscript Interoperability Goals: Support for use-cases at Yale, University of Toronto and Johns Hopkins University Comparative viewing for manuscript images in a book, across books, across collections, across repositories Support annotation and transcription viewing Support light-weight annotation creation
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How do we do it? 1. Represent the physical object in a common data model (SharedCanvas) 1. Deliver the data via common API (IIIF)
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Data Model: SharedCanvas http://www.shared-canvas.org
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How do we do it? 1. Represent the physical object in a common data model (SharedCanvas) 1. Deliver the data via common API (IIIF) http://iiif.io
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IIIF API Development and Current Status Work driven by real-world use-cases Scholarly projects and interviews Personae developed http://www.stanford.edu/group/dlss/dms-viewer/personas/ Development work referred back to these use-cases on an ongoing basis Confirmed that APIs actually support real needs Status Image API at 1.1 release Metadata API at 1.0 release
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Deliver via API: IIIF http://library.stanford.edu/iiif/image-api
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Implementation Meeting at Harvard in October 2013 Eight institutions Stanford Yale Harvard University of Kentucky (vHMML) Oxford University University of Fribourg (e-codices) Los Alamos National Laboratory Biblissima (France) Goal: 6-8 institutions with: Mirador installed Showing content from all other institutions Prototype ability to add more content Development contributions?
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Result: 9 institutions sharing content
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Mirador Development Process Two-year grant cycle: Design Creation of personas: http://www.stanford.edu/group/dlss/dms-viewer/personas/ Creation of mock-ups and wire-frames http://www.stanford.edu/group/dlss/dms-viewer/mocks/#1 Development Phased development of different components Comparative image viewing – COMPLETE Annotation and transcription viewing – IN PROCESS Annotation creation - FUTURE 1.0 public release planned for December 2013 2.0 public release planned for December 2014 Post-2014: ongoing development of a community of adopters and committers for this open source project
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Next Steps: Image Choice
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Next Steps: Annotation viewing
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Next Steps: Transcription viewing
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Next Steps: Multiple text representations
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Next Steps: Workspace Sharing
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The Beinecke as Institutional Leader Technical implementation is relatively easy Institutional buy-in to share content, and lots of it, is more of a challenge The Beinecke could play a leading role as one of the major North American manuscript repositories Benefits: Increased access to scholarly and public use of the content Transcription and annotation of Beinecke content Crowd-supported cataloging Comparison of Beinecke books with related or comparable books in other repositories in a single interface
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