Transcript JSTOR`s Data for Research

JSTOR:
SUPPORTING RESEARCH
OUTPUT IN INNOVATIVE
WAYS
Javanica Curry- Director, Institutional Participation and Strategic Partnerships
11 September 2015
JSTOR | Portico
About JSTOR
OVERVIEW
JSTOR Usage
Data for Research
JSTOR Daily
Final Thoughts
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.
• Established as a not-for-
profit in 1995, JSTOR is a
service of ITHAKA
JSTOR
MISSION
• Expanding access while
preserving the academic
record
• Helping publishers who
share our interests
• Creating and maintaining a
trusted digital library of
high-quality scholarship
• 2,451 academic journals =
corpus of 55 million pages.
Covers ~60 disciplines,
focusing on humanities & social
sciences
• 30,000+ books
JSTOR TODAY
JSTOR.ORG
• 2 million primary
source objects
• 900+ publishers
• 9,563 institutions use JSTOR
• 12 million unique visitors per
month
• In the past 5 years, more than
737 million content accesses
JSTOR IN TURKEY
6,000,000
5,000,000
789,283 Content Accesses
4,000,000
129 Participating
Institutions
3,000,000
2,000,000
1,000,000
0
TOP DISCIPLINES
Turkey
Middle East
Business
Business
5
Language &
Literature
Sociology
Political
Science
Economics
6
History
7
Education
Art & Art
History
Middle East
Studies
Classical
Studies
Language &
Literature
Political
Science
Education
Sociology
Middle East
Studies
Economics
1
2
3
4
8
9
10
History
Biological
Sciences
Asian Studies
United States
Language &
Literature
History
Sociology
Education
Business
Political
Science
American
Studies
Biological
Sciences
Economics
Art & Art
History
Global
Business
Language &
Literature
History
Sociology
Political
Science
Economics
Education
Biological
Sciences
American
Studies
Art & Art
History
DATA FOR RESEARCH
DFR.JSTOR.ORG
WHAT IS DATA
MINING?
“At its simplest, data
mining is the process
of extracting new
knowledge (usually in
terms of previously
unknown patterns)
from sets of data
already in existence.”
Hagood, J. (2012), A brief introduction to data
mining projects in the humanities. Bul. Am. Soc.
Info. Sci. Tech., 38: 20–23. doi:
10.1002/bult.2012.1720380406
WHAT CAN
DATA MINING
OFFER?
“… a broad yet
detailed backdrop that
helps guide our
analyses… It can
reveal trends about
the evolution of a field
that might in turn
lead us to pay more
attention to a
particular discipline,
time period, theorist,
or argument.”
--Dan Edelstein, “Enlightenment Scholarship by the
Numbers.”
AN EARLY EXAMPLE
Yale Book of Quotations
Supporting new types of
scholarship is part of our
mission.
JSTOR
SUPPORTS
DATA MINING
We support data mining
and digital humanities
research via Data for
Research (DfR) –
dfr.jstor.org
DfR provides tools and a
means to explore the
content on the JSTOR
platform in new ways.
Data for Research supports
the use of computing to
engage with texts.
WHAT IS DATA
FOR
RESEARCH?
More specifically, Data for
Research is…
•
a self-service tool for
generating limited
datasets from the
content on JSTOR
•
a researcher-oriented
exploration tool
complementing the search
and browse capabilities
offered by the JSTOR
main site
DATA FOR RESEARCH
SERVICE FOR RESEARCHERS:
 Openly available interface
 Analyze trends in academic language
 Isolate key terms for whole disciplines
 Map author networks
 Create visualizations of datasets
 Trace concepts across disciplines
THE DATA
Research-oriented data views of JSTOR content
•
•
•
•
Word frequencies
N-grams (bigrams, trigrams, quadgrams)
Key terms
Reference citations and statistics
Data retrieval options
•
•
•
Online viewing and downloading of basic data
With a registered account, automatic processing of larger
datasets
With a registered account, bulk downloading of XML or CSV files
USE OF THE SERVICE
Since 2008:
• 4,000+ registered researchers
• 5,000+ self-service datasets generated
• 300+ custom datasets produced
• Growth in digital humanities research has meant
much more interest in data analysis in general
• More interest from researchers in fields where
computing techniques are still novel & beginning
to flourish
SUPPORTED PROJECTS
OF DATA FOR RESEARCH
UNDERSTANDING A FIELD:
“Computing Folklore Studies: Mapping
Over a Century of Scholarly Production
Through Topics”
John Laudun and Jonathan Goodwin.
Journal of American Folklore, Vol. 126
No. 502 (Fall 2013)
UNDERSTANDING TERMS:
“Enlightenment Scholarship
by the Numbers.” Dan
Edelstein. Republics of
Letters, vol 4 No 1. Oct 1,
2014.
• Tracks the use of
“Enlightenment”, in
historic and language
context.
• Explores questions of the
way scholars present
research and the
“terminological woods” in
naming an historical age
“CULTURAL COMPUTING AT LITERATURE SCALE”
EIGENFACTOR.ORG/GENDER
JSTOR DAILY
• Feature articles and daily blog
posts published daily
• Content draws connections
JSTOR DAILY
between current affairs and
historical scholarship
• Covers a range of disciplines
and includes profiles of
scholars.
• Insights into news and current
events
• Bridging scholarly research and
new media
• Highlight articles or content
found on JSTOR
EFFECTS & CONSIDERATIONS
 How can we as a publishing and library community
support scholars as they develop and refine techniques?
 Continue to work toward open use of data, while
maintaining awareness of intellectual property
 Data shows interdisciplinary reach of scholarship
 Big data can be used to highlight the gaps and absences in
archives and databases
 Means of preservation
 Need to reflect scholarship’s new forms
Thank you
JAVANICA CURRY
DIRECTOR, IPSP
[email protected]
2 RECTOR STREET
18TH FLOOR
NEW YORK, NY 10006
TEL 212 358.64698
FAX 212 358.6499
www.jstor.org