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.
Enabling New Methods of Discovery - Digital Preservation Virtual Conference - Lawrence Livermore National Laboratory
June 28, 2019
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
Ithaka S+R is a not-for-profit
research and consulting
service that helps academic,
cultural, and publishing
communities thrive in the
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.
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.
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
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.
JSTOR has been thoughtful
about curating a collections of
From the start, JSTOR has
invested in enhancing its
content with strong metadata
Natural Language Processing
Fuzzy Text Matching
Linked Open Data
Director, JSTOR Labs