2016 aaude
TRANSCRIPT
Data-Driven Solutions to Support Your Research Enterprise
Ann Beynon
THOMSON REUTERS
Simon Pratt
UNIVERSITY OF TORONTO
AAUDE conference
April 2016
THE WEB OF SCIENCE CORE COLLECTION- OUR FOUNDATION FOR ANALYTICS
• High-quality, peer-reviewed content; independent, unbiased selection
• 61 million records: the largest and most consistent citation database, with 1 billion cited references, back to 1900, all searchable
• Multidisciplinary: Journals (12,760), Conferences (161,000), and Books (70,000) indexed in the Sciences, Social Sciences, and Arts & Humanities
• Comprehensive metadata due to our cover-to-cover indexing, all authors/addresses, funding acknowledgements, editorial policies and oversight
• Used by 7,000+ institutions globally, including major research institutions, governments, international rankings…and all AAU universities and AAU administration
• Emerging Sources Citation Index (new)
INCITES-bibliometric analysis of people, organizations, and funding agencies
Users:
• Institutional Research
• Faculty Affairs
• Library
• Office of Research
• Provost
• President
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INCITES BENCHMARKING AND ANALYTICS
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Web of Science Core Collection data – normalized for analytics • Multidisciplinary content, indexed metadata, and true citation indexing
• Science Citation Index Expanded, Social Science Citation Index, and Arts & Humanities Citation Index (12,760 high impact scholarly journals)
• Conference Proceedings Citation Index • Book Citation Index
• Normalized data and benchmarks updated bimonthly
• Unified institutions (5,900 +); Unified funders (700)
• 1980 to present
• All document types (articles, reviews, editorials, book chapters, etc.)
• Subject area schema for comparing: Web of Science, Essential Science Indicators and 8 regional schemes
• Save to InCites – import Web of Science results sets of up to 50,000 records for analysis!
InCites: Normalized citation data
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Business Oncology
Substance Abuse
Respiratory System
Biology Law
Agronomy
CATEGORY citation patterns differ by subject category e.g. nanotechnology vs law
Review Article Editorial
DOCUMENT TYPE citations differ by document type within a journal e.g. reviews are generally more heavily cited than articles, and editorials, book reviews etc. may go uncited
NORMALIZATION PUTS DATA INTO CONTEXT— IS AN ENTITY DOING BETTER OR WORSE THAN WOULD BE EXPECTED IN A JOURNAL OR CATEGORY?
TIME citations accumulate over time and at different rates depending on article age and category e.g. new articles may accumulate citations quickly, older ones more slowly or not at all
2015
times
cite
d
1990
Is 20 citations good or bad?
Article Article Article
Article Article Article
Article Article Article
Article Article Article
Article Article Article
also ORGANIZATIONS, COUNTRIES, RESEARCH AREAS
NORMALIZED RATIO OF ACTUAL / EXPECTED CITATIONS
EXPECTED NUMBER OF CITATIONS FOR ARTICLE SET* AVERAGE CALCULATED FROM SUM OF ALL DOCUMENTS IN THE SELECTED GROUP
20
2 32
5
0
18 9 2
12 18 1
1
8 7 23
158 Total Cites in group
15 documents in group
10.5 Expected cites
Article 12
Article
12 Total
10.5 Expected
1.14 Normalized
8 People
8 Total
10.5 Expected
0.76 Normalized
*for journal/category, publication year, and document type
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FACULTY EVALUATION AND RECRUITMENT
• University of Toronto authors
• Use radar charts to compare multiple indicators
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COLLABORATION ANALYSIS
• University of Toronto
• Government and corporate collaborators
• Ranked by # documents
• Indicator shown is category normalized citation impact
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IMPACT OF FUNDED RESEARCH
• University of Toronto
• Documents funded by NSERC
• Ranked by % documents in top 1% of category
• Web of Science categories
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IMPACT IN A TOPIC- GOLD NANOPARTICLES
• AAU top 5
• Ranked by % hot papers (published in last two years; high citations in last two months)
CUSTOMIZED REPORTS
• Compare your research activity to peers
• Identify topical strengths/weaknesses/opportunities/threats
• Recommendations on improving rankings or meeting research goals
• How much research is taking place and in what field(s) at my institution? • Where is this research being published? • What are the disciplinary strengths and opportunities in this body of research? • How does our publication output and impact compare against competitors? • Who most commonly funds this disciplinary research?
CUSTOMIZED REPORTS- Bibliometric Performance Report Bibliometric overview of your university vs. select peers
CUSTOMIZED REPORTS- Emerging Research Areas Report Topical analysis of your strengths/weaknesses/opportunities/threats
• In what research areas do we have strengths, opportunities, weakness, or threats? • What are the emerging research areas relevant for my portfolio? What are the global trends
in these areas? • Who at my institutions performs research in these areas? • Who is funding this research?
Tailored reports- Answer your specific questions and provide recommendations on improving rankings or meeting research goals GLOBAL INSTITUTIONAL PROFILES DATA
Publication output share by year from US Top 20 Journals by Impact Factor
BIBLIOMETRIC DATA
• Converis is designed for easy integration of existing data
• Example of systems for integration:
– Login servers (e.g. Shibboleth, LDAP, Kerberos, CAS, often with SSO)
– HR systems (e.g. Resource Link, SAP-HR, PeopleSoft)
– Finance systems (e.g. SAP, PeopleSoft, Agresso, Oracle, Raindance, MACH)
– Student record systems (e.g. BANNER, PeopleSoft CS, SITS, Ladok, AIS)
– Grants systems (e.g. Cayuse, Huron, Kuali, InfoEd, etc.)
– Institutional repositories (e.g. DSpace, EPrints, Fedora, Digital Commons)
– External publication databases (e.g. Web of Science, InCites, PubMed, Scopus, ORCID, etc.)
– Build and maintain researcher profiles for research networking like VIVO, Harvard Profiles, Loki, etc.
CONVERIS INTEGRATION OF EXISTING SYSTEMS
CONVERIS – A FACULTY ACTIVITY REPORTING SYSTEM
Converis has a comprehensive data model, covering activities across all departments:
You can also add your own activity types
FACULTY ACTIVITIES
Publication Type Type of Activity Type of Creative Work Type of Teaching Activity Type of Service Type of Project
Annotation Award Artwork Advising Clinical Service Charity Funded
Book Chapter Lecture Audio/Visual Work Continuing Education Clinical Trial Clinical Trial
Confererence Proceeding
Poster Musical Performance Graduate Editor/Reviewer Contract Research
Journal Article Presentation Software Multimedia Mentoring Professional Societies
Fellowship
Journal Review Professional Membership
Other Creative Work Professional Student Group Advising
(NEA) Project
Report Seminar Undergraduate Univ Committee (NIH) Project
Thesis Speech (NSF) Project
We can add your specific faculty review templates.
Configure the approval workflow for your local faculty management needs. -promotion and tenure -annual review -sabbatical
CONVERIS – A FACULTY ACTIVITY REPORTING SYSTEM
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DATA INTEGRATION- via APIs or data delivery
• Multidisciplinary • Cover-to-cover indexing • Funding
acknowledgements • Citations back to 1900 • Unbiased selection
• Normalized bibliometric indicators back to 1980
• Collaboration indicators
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DATA INTEGRATION- via APIs or data delivery
Example: populating publication and citation data into a research portal (VIVO)
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DATA INTEGRATION- via APIs or data delivery
Example: populating publication and citation data into an institutional repository
http://hub.hku.hk/
University of Toronto
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We use bibliometric data in a variety of ways: – Reports to Executive Committee and
Governing Council – Promoting our excellence – Grant support – Research Management
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Top 30 Urban Regions
Research Publications 2011-13
Research Publications,
% Change 1996-1998 to 2011-13
Promote our excellence
Grant support
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Canada First Research Excellence Fund (CFREF-2)
$900 million funds available (this round) U of T submission is on
“Data Driven Solutions” (DDS) an initiative to transform the way data is applied to the most complex and urgent social, environmental, health and economic challenges.
Grant support
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Searched the Web of Science using a set of keywords related to DDS – Vetted and refined with input from academics
in the field Exported the results to InCites for analysis
– Identified collaborating countries and institutions
– Created trend benchmarks to predict future performance
Grant support
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Identified 400 scholars across the university with expertise in the field. – Many faculty/departments represented – Multidisciplinary – Created “bio-sketches” of each, with some
bibliometric data included (h-index).
Research Management
The University of Toronto is a very large university and the individual faculty have a high degree of autonomy.
The Faculty of Medicine maintains a variety of resources to assist researchers secure funding
One of the biggest challenges is maintaining accurate lists of publications and integrating those lists with the Canadian Common CV
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Research Management
Historically, the Faculty of Medicine has done a huge amount of work to manually clean the data and to feed the cleaned data back to Thomson Reuters for integration with InCites
However, we are currently implementing Converis as our research information system which will automate many of these processes and link with external resources.
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Data-Driven Solutions to Support Your Research Enterprise
Visit our table for a complimentary research report on
your university
Visit our website: http://stateofinnovation.thomsonreuters.com/