they’re doing what? - nordp · 2019-06-12 · they’re doing what? competitive intelligence in...
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They’re Doing WHAT? COMPETITIVE INTELLIGENCE IN HIGHER EDUCATION
Linda GallowayCustomer Consultant, Elsevier | Research Intelligence
Karen WalkerResearch Development, Office of Knowledge Enterprise Development, Arizona State University
Jamie WelchResearch Development, Office of Knowledge Enterprise Development, Arizona State University
Advancing Research, Entrepreneurship and Economic Development
What are we going to cover?• What is Competitive Intelligence?• Nature of CI in Higher Ed• Using SciVal for CI• SciVal Use Case – Collaboration• SciVal Use Case – Competitiveness• Wrap up/Questions
What is Competitive Intelligence?• CI is the ethical collection and analysis of
information which informs decision-making
• Development of actionable insights for decision making
• Quantitative and qualitative data
Nature of CI in Higher EducationFunding landscape is very competitive• CI helps you gain a competitive edge by:
oAssessing your strengths/weaknesses oBenchmarking against other
institutionsoDetermining top performers in
research fieldsoUnderstanding sponsor needs and
priorities
Nature of CI in Higher Ed• Types of Analyses
– Program Analyses– Sponsor Priorities/Strategies– Capacity Analyses– Landscape Analyses (research area/funding area)
Nature of CI in Higher Ed• These analyses provide us with a better viewpoint of our
institutions and competitors/collaborators and resources.• Multiple end-users who find various uses for intelligence
Institutional Decision Makers
Faculty Network
Using SciVal for Competitive Intelligence
SciVal is an analytical tool that allows you to:
• Characterize research portfolio for any profiled Academic/Corporate/Government entity• Benchmark performance against any set of peers• Find top performers/rising stars in research fields• Aid in research planning and analysis:
• Pinpoint the research areas where your institution excels• Find out which areas your peers and competitors are active in• Identify research topics that are likely to be well funded
The Layers of SciVal
Big Data technology
Publication, citation and Scopus usage dataawarded grants, mass media mentions, patent-article citations
10,000 research institutions and 230 countries
worldwide
Query around 200 trillion metric values
5000+Publishers
Scopus delivers a comprehensive view on the world of research.No packages, no add-ons. One all-inclusive subscription.
23,500+Serial titles
150,000+Books
74 million
Items
16 million
Author profiles
~70,000Affiliation Profiles
1.4 billion cited referencesdating back to 1970
Identify and analyze which journals to read/submit to
Help researchers manage career-citation counts and h-index
Decide what, where and withwhom to collaborateTrack impact of research;monitor global research trends
Find out what already exists inthe global world of research
Determine how to differentiateresearch topics, find ideas
Scopus is the largest curated abstract and citation database of peer-reviewed literature
and features smart tools that allow you to track, analyze and visualize scholarly research.
SciVal’s publication data source:
Predictive Analytics: Topic Prominence
• Reveal areas of current research focus• Tell the story of your groups’ research
attention• Highlight areas of significant research
contribution• Find collaborators, competitors, conduct
intelligence• Predict research areas likely to receive future
funding
How Topics were developed
• All Scopus publications are clustered into topics using citation links
• ~35 million publications (1996-present) in ~96,000 topics
• Clustering is done using algorithms that• Divide the documents into groups• Have a resolution parameter where increasing the resolution
increases the number of clusters and reduces cluster sizes• Maximize the links within clusters and minimize the links
between clusters
AN O
B CD
E F GH I
J
K L M
S TP Q R
U VW
ZX Y
Cluster 1 Cluster 2 Cluster 3
Prominence Metric• Prominence is the indicator that
shows the current momentum of a topic by looking at very recent citations, views and CiteScorevalues.
• Prominence = momentum (not the same as importance!).
• Prominence predicts funding –helps researchers and research managers identify topics in which funding will increase.
Between 2013 to >2018, researchers at Arizona State University have contributed to:10,668 Topics1,290 Topic Clusters
Topics: a detailed look at your institution's research strengths
ASU’s top 1% of Research Topics
ASU’s 1% Key Topics – globally most prominent
SciVal Use Case - Collaboration• What is ASU’s activity in China?• Awards Data + SciVal
– Great collaboration is not always funded research but can lead to funding. • Highlights up-and-comer faculty who may have not won an award yet
– Things aren’t always captured in awards• They are fields/early stage work that doesn’t necessarily get funded
easily by the typical sponsors we look at.
• Used SciVal to explore publications– From this we know who are our collaborators, who is most
common collaborator, and on what topics
SciVal Use Case - Competitiveness• Using SciVal Trends to see where your university ranks in a
particular topic.
• Where does ASU rank in artificial intelligence?• Used SciVal to look at publications in the field from 2013-
2018.– Limit to US academic institutions to narrow to our closest
competitors for funding resources
• Cross-compare with awards (in this case, HERD rankings) for a complete picture
Wrap Up• Reach out to SciVal rep at your institution for demo• Think through how this tool can answer questions posed by
leadership and faculty• Join the Competitive Intelligence Working Group!!
They’re Doing What? COMPETITIVE INTELLIGENCE IN HIGHER EDUCATION
Thank You
[email protected]@[email protected]
Questions?