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Alex Humphreys
@abhumphreys
DHUGE 2019
November 8, 2019
Enabling New
Methods of Discovery
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.
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.
THE
FOUNDATION
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.
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.
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?
QUALITY:
CURATION
JSTOR has been thoughtful
about curating a collections of
high-quality scholarly
literature.
QUALITY:
AUGMENTATION
From the start, JSTOR has
invested in enhancing its
content with strong metadata
Enabling New Methods of Discovery - Data Harmony Users Group
AUGMENTATION
IS NEVER DONE
JSTOR continues to improve
the metadata of the content
within its collection.
JSTOR THESAURUS
BUILDING
ON THIS
FOUNDATION
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.
SO WHAT’S A
JSTOR LABS
***DO***???
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
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/
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.
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
labs.jstor.org/topicgraph
TOPICGRAPH
Understand at a glance the topics covered in a book.
Jump straight to pages about topics you’re researching.
TEXT ANALYZER
www.jstor.org/analyze
THE JSTOR UNDERSTANDING SERIES
www.jstor.org/understand
INTERVIEW ARCHIVE
labs.jstor.org/interview
TOPICGRAPH
TEXT ANALYZER
UNDERSTANDING
SERIES
INTERVIEW ARCHIVE
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
Enabling Technologies
Natural Language Processing
Topic Modeling
Entity Extraction
Fuzzy Text Matching
Machine Learning
Linked Open Data
Knowledge Graph
WikiData
JSTOR THESAURUS
Thank you
Alex Humphreys
Director, JSTOR Labs
ITHAKA
labs.jstor.org
@abhumphreys
alex.humphreys@ithaka.org

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Enabling New Methods of Discovery - Data Harmony Users Group

  • 1. Alex Humphreys @abhumphreys DHUGE 2019 November 8, 2019 Enabling New Methods of Discovery
  • 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. 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.
  • 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. 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. 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. QUALITY: CURATION JSTOR has been thoughtful about curating a collections of high-quality scholarly literature.
  • 9. QUALITY: AUGMENTATION From the start, JSTOR has invested in enhancing its content with strong metadata
  • 11. AUGMENTATION IS NEVER DONE JSTOR continues to improve the metadata of the content within its collection.
  • 14. 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.
  • 15. SO WHAT’S A JSTOR LABS ***DO***???
  • 16. 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
  • 17. 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/
  • 18. 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.
  • 19. 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
  • 20. labs.jstor.org/topicgraph TOPICGRAPH Understand at a glance the topics covered in a book. Jump straight to pages about topics you’re researching.
  • 22. THE JSTOR UNDERSTANDING SERIES www.jstor.org/understand
  • 25. 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
  • 26. Enabling Technologies Natural Language Processing Topic Modeling Entity Extraction Fuzzy Text Matching Machine Learning Linked Open Data Knowledge Graph WikiData JSTOR THESAURUS
  • 27. Thank you Alex Humphreys Director, JSTOR Labs ITHAKA labs.jstor.org @abhumphreys alex.humphreys@ithaka.org