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Enabling New Methods of Discovery - Data Harmony Users Group

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Just as new forms of high-quality scientific data lead to new scientific discoveries, new forms of high-quality metadata lead to new methods of scholarly research. JSTOR Labs builds experimental tools for research and teaching on top of the JSTOR digital library of academic journals and books. In doing so, they leverage the scale of JSTOR’s corpus, JSTOR’s strong and consistent metadata, and natural language processing and other machine learning methods to extend this metadata in new directions. In this talk, I’ll showcase some of the award-winning research tools JSTOR Labs has built and describe the metadata foundation that enables these new forms of academic research.

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Enabling New Methods of Discovery - Data Harmony Users Group

  1. 1. Alex Humphreys @abhumphreys DHUGE 2019 November 8, 2019 Enabling New Methods of Discovery
  2. 2. ITHAKA is a not-for-profit organization that helps the academic community use digital technologies to preserve the scholarly record and to advance research and teaching in sustainable ways. JSTOR is a not-for-profit digital library of academic journals, books, and primary sources. Ithaka S+R is a not-for-profit research and consulting service that helps academic, cultural, and publishing communities thrive in the digital environment. Portico is a not-for-profit preservation service for digital publications, including electronic journals, books, and historical collections. Artstor provides 2+ million high-quality images and digital asset management software to enhance scholarship and teaching.
  3. 3. JSTOR Labs works with partner publishers, libraries and labs to create tools for researchers, teachers and students that are immediately useful – and a little bit magical.
  4. 4. THE FOUNDATION
  5. 5. JSTOR OUR HISTORY JSTOR was created in 1995 to help libraries address cost issues and save on shelf space. JSTOR helped libraries to repurpose space, share the costs of digital storage and preservation, and spread access for users. Since JSTOR’s launch in 1997, we have continued to expand the platform, adding current journals, books, and primary sources.
  6. 6. JSTOR WHERE ARE WE TODAY? More than 10,000 libraries from 170+ countries currently provide access to JSTOR. Content has been consistently added since JSTOR’s launch. More than 79 million pages of journal content are now available and preserved.
  7. 7. USAGE DRIVER www.jstor.org Multiple studies have shown that the same document or article gets as much as three times the usage on the JSTOR platform as it does on another platform. WHY?
  8. 8. QUALITY: CURATION JSTOR has been thoughtful about curating a collections of high-quality scholarly literature.
  9. 9. QUALITY: AUGMENTATION From the start, JSTOR has invested in enhancing its content with strong metadata
  10. 10. AUGMENTATION IS NEVER DONE JSTOR continues to improve the metadata of the content within its collection.
  11. 11. JSTOR THESAURUS
  12. 12. BUILDING ON THIS FOUNDATION
  13. 13. JSTOR Labs works with partner publishers, libraries and labs to create tools for researchers, teachers and students that are immediately useful – and a little bit magical.
  14. 14. SO WHAT’S A JSTOR LABS ***DO***???
  15. 15. HORIZONS OF INNOVATION Horizon 1 Horizons 2 & 3 • Horizon 1 = core business • Innovation usually seeks operational efficiencies • You know the market, the product, etc. • You can make reasonable predictions about both cost to develop and how market will react • Horizons 2 & 3 = new products, new markets & new businesses • “If you build it, they will come.” • You don’t even know what “it” is • Or who “they” are Horizons framework: http://www.mckinsey.com/business-functions/strategy-and-corporate-finance/our-insights/enduring-ideas-the-three-horizons-of-growth http://blog.hypeinnovation.com/using-the-three-horizons-framework-for-innovation
  16. 16. Q: If H2 and H3 are so uncertain, how do you find your way to a sustainable new product or business? The Design Squiggle, by Damien Newman: http://cargocollective.com/central/The-Design-Squiggle/
  17. 17. A: Lots of short iterations + lots of user feedback = speeding up the learning cycle Innovation isn’t one big “Eureka,” it’s a thousand little ones.
  18. 18. REIMAGINING THE MONOGRAPH Can we improve the experience and value of long-form scholarship? Aug-Sep: User Research Oct: Workshop Nov: Build Prototype Dec: Release Paper/Prototype
  19. 19. labs.jstor.org/topicgraph TOPICGRAPH Understand at a glance the topics covered in a book. Jump straight to pages about topics you’re researching.
  20. 20. TEXT ANALYZER www.jstor.org/analyze
  21. 21. THE JSTOR UNDERSTANDING SERIES www.jstor.org/understand
  22. 22. INTERVIEW ARCHIVE labs.jstor.org/interview
  23. 23. TOPICGRAPH TEXT ANALYZER UNDERSTANDING SERIES INTERVIEW ARCHIVE
  24. 24. TOPICGRAPH TEXT ANALYZER UNDERSTANDING SERIES INTERVIEW ARCHIVE Enabling Technologies Natural Language Processing Topic Modeling Entity Extraction Fuzzy Text Matching Machine Learning Linked Open Data Knowledge Graph WikiData
  25. 25. Enabling Technologies Natural Language Processing Topic Modeling Entity Extraction Fuzzy Text Matching Machine Learning Linked Open Data Knowledge Graph WikiData JSTOR THESAURUS
  26. 26. Thank you Alex Humphreys Director, JSTOR Labs ITHAKA labs.jstor.org @abhumphreys alex.humphreys@ithaka.org

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