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AAUP 2016: UPScope (S. Doerr)

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These slides are from Susan Doerr as part of "Update on UPScope Planning Grant" at AAUP 2016 in Philadelphia, PA.

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AAUP 2016: UPScope (S. Doerr)

  1. 1. UPScope A planning grant funded by the Andrew W. Mellon Foundation
  2. 2. UPScope expands the network UPScope is the working title of an AAUP planning grant to develop a platform enabled by natural language full-text search and discovery of high quality, peer-reviewed books published by AAUP member presses. • Creates a network between the texts published by AAUP member presses • Natural language search facilitates: • crosses disciplinary silos • results free of bias based on commercial factors (i.e. advertising) • Links texts into the networks of scholars
  3. 3. Inspired by AcademyScope
  4. 4. Raison d’etre: Monograph Discovery Monograph discovery is not optimal for humanities research Phrases and key words carry multiple meanings Ideas across disciplines have different names
  5. 5. Why did we do this: Improve discovery, visibility, and usage of AAUP member press books
  6. 6. Inference Engines: semantic search • An inference engine reads the text of the books and identifies the concepts and key phrases within the tests • Maps the books against one another based on those common key phrases/key words, creating idea pathways
  7. 7. Testing of Inference Engines • 200 files used to test inference engines • Proved the files & metadata have today will work with these engines
  8. 8. Governance Structure for the planning grant Two Advisory Councils: • Executive Advisory Council • Technical Advisory Council The two councils split into nine working groups: • Semantic Tech Evaluation • Scholar as customer • Up content analysis • Access models and fulfillment • Identifiers & metadata standards • Reimagine Curation • Aggregator Interfaces • Library as customer • AAUP member communication
  9. 9. Outreach to the community • Surveyed AAUP member presses • Libraries • Scholarly Societies • Individual Scholars • Technology Companies • Inference Engine Developers
  10. 10. Business Modeling Members of the advisory council created potential business model projections for: book sales discovery service sales open access hosting fees research services to scholars
  11. 11. Member Content Survey 166,000 digital book files exist from 104 reporting AAUP member presses. Most are PDF Presses publish more than 10,000 new titles a year
  12. 12. Next Steps • Drafting a Proof of Concept project proposal to submit to the Mellon Foundation • Core goals of proof of concept 1. Ingest files metadata from presses 2. Develop the inference engine (discovery tool) 3. Validating scholars will use it
  13. 13. Questions? Thank you!

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