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How to measure
the impact of
research?
Anne-Catherine Rota, Research Intelligence, Elsevier
7 December, 2015
Elsevier, Partner for Research
Access to full text of 2,500 journals and 11,000 eBooks revues
The largest bibliographic database , 22,000 active journals
| 3| 3| 3
Analyze research: what for?
Monitor the trends in my own research area
Position myself / my team / my institution
Evaluate
Get more funding
Being more visible
| 4| 4| 4
The French research landscape: EU funding
H2020: Funding allocated per country – 4,320 contracts signed - July 15, 2015
FP7: Funding allocated per country (2007-2013)
Contribution to the EU budget (2011)
| 5| 5| 5
Scopus, the output database
22 000 journals from 5,000 publishers
o A well-balanced coverage in terms of research fields
o A well-balanced coverage for locations
o IndependantContent Selection Adivsory Board
o 56 million articles
o 6,9 million conference papers
o + 90 000 eBooks
o “Articles in Press” from 5,000 titles
o +3,473 Open Access journals
Elsevier journals:
only 10% of
indexed journals
in Scopus
88%
12%
Scopus
Non-Scopus
Top 100 institutions
| 6| 6| 6
Among Scopus users
2015 Best Chinese University Ranking report
(évaluation par le Shanghai Ranking Consultancy’s)
International rankings
Public policies, research assessments and funding agencies
Canadian Institutes of Health Research
U.S. National Science Foundation (NSF) Selects Elsevier Data to Support its Science and Engineering Indicators
http://www.elsevier.com/about/press-releases/science-and-technology/u.s.-national-science-foundation-nsf-selects
-elsevier-data-to-support-its-science-and-engineering-indicators
Research metrics: best practice in their use in merit systems
7
Research metrics can be used
inappropriately
- One metric used in isolation often leads
to undesirable outcomes
Research metrics can be
manipulated
- Normal research practice can be abused
if you really try
Also true of peer review
- How can research metrics be used with
similar trust and benefit?
All merit systems should be based on
multiple types of measurement:
• Peer review
• Expert opinion
• Narrative
• Research Metrics
Research Metrics input should always
rely on at least 2 metrics
- Reduces opportunities to game and can drive desirable
outcomes
Research metrics indicate many different ways of being good
8
Research Metrics input should always rely on at least 2 metrics that ideally reflect
distinct ways of performing excellently
Within Research Area of “Sitting”:
Output, citations and views show different ways of being excellent
Most
productive
Most
cited
Most
viewed
Viewing activity is complementary to being cited
Recent publication viewed, even though
not cited yet
Erratum not (expected to be) cited but
actively looked at
This publication is of global
interest
Snowball Metrics in a nutshell
12
• Bottom-up initiative: universities endorse metrics valuable to
them to generate a strategic dashboard
• Aim: enable benchmarking by driving quality and efficiency
across higher education’s research and enterprise activities
• Draw on all data available: university, commercial, public
• Build on existing definitions and standards where sensible
• Output: free recipes (methods) that can be used by anyone
• www.snowballmetrics.com for more info and Recipe Book
UK group
Societal-Economic Impact
13
Recipes: partner with businesses
Contract Research
Spin-Off-Related FinancesIP Volume / Licenses
Academic-Corporate Collaboration
Altmetrics: esteem and impact
15
Scholarly Activity: posts in
scholarly tools
Social Activity: social
media posts
Scholarly Commentary:
comments in scholarly tools
Mass Media: references
from newspapers etc.
Altmetrics - Esteem Altmetrics - Impact
Altmetrics in Scopus
16
| 17
| | 17
Societal Economic Impact in SciVal - Patent Article Citations
| 18
| | 18
Societal Economic Impact in Scival - Patent Article Citations
Societal-economic impact
19
Partner with businesses
• Academic-Corporate Collaboration
• Business Consultancy Activities
• Volume & financial benefits of IP &
spin-outs
Esteem
• Scholarly Activity
• Scholarly Commentary
Impact
• Social Activity
• Mass Media
• Public Engagement
Brain and Neuroscience research is highly collaborative
20
Internationalcollaboration(%oftotaloutput)
Brain and Neuroscience Researchers: cross-disciplinary mobility
| 22
Measure interdisciplinarity
| 23
Four ingredients to be gatherer in order to analyze research
1. Data
3. Metrics
4. Tools
2. IT system
Quality & reliability
Transparency
Granularity
as hoc services & APIs
Immediate access
| 24
Documents under initial ENPC profile: 2,007
Scopus optimized identification of French affiliations
| 25| 25| 25
| 26| 26| 26
• Offer a basket of metrics
• That can be generated in an automated and scalable way, so they are available
for all peers
• Do not make decisions on behalf of users
• Provide options and enable users to decide approach
• Absolute transparency so you can make your own judgments about whether
something is appropriate, or has been manipulated
• No methodological black boxes – no exceptions
• Transparency about underlying data contents and structure
• Constructed in a reasoned way
Research metrics: best practice in their supply
27
Absolute transparency from your metrics supplier is essential
28
http://bit.ly/scivalmetricsguidebook
http://bit.ly/usageguidebookhttp://bit.ly/hefceresponse
Presented By
Date
Thank you for your time and attention

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How to measure the impact of Research ?

  • 1. How to measure the impact of research? Anne-Catherine Rota, Research Intelligence, Elsevier 7 December, 2015
  • 2. Elsevier, Partner for Research Access to full text of 2,500 journals and 11,000 eBooks revues The largest bibliographic database , 22,000 active journals
  • 3. | 3| 3| 3 Analyze research: what for? Monitor the trends in my own research area Position myself / my team / my institution Evaluate Get more funding Being more visible
  • 4. | 4| 4| 4 The French research landscape: EU funding H2020: Funding allocated per country – 4,320 contracts signed - July 15, 2015 FP7: Funding allocated per country (2007-2013) Contribution to the EU budget (2011)
  • 5. | 5| 5| 5 Scopus, the output database 22 000 journals from 5,000 publishers o A well-balanced coverage in terms of research fields o A well-balanced coverage for locations o IndependantContent Selection Adivsory Board o 56 million articles o 6,9 million conference papers o + 90 000 eBooks o “Articles in Press” from 5,000 titles o +3,473 Open Access journals Elsevier journals: only 10% of indexed journals in Scopus 88% 12% Scopus Non-Scopus Top 100 institutions
  • 6. | 6| 6| 6 Among Scopus users 2015 Best Chinese University Ranking report (évaluation par le Shanghai Ranking Consultancy’s) International rankings Public policies, research assessments and funding agencies Canadian Institutes of Health Research U.S. National Science Foundation (NSF) Selects Elsevier Data to Support its Science and Engineering Indicators http://www.elsevier.com/about/press-releases/science-and-technology/u.s.-national-science-foundation-nsf-selects -elsevier-data-to-support-its-science-and-engineering-indicators
  • 7. Research metrics: best practice in their use in merit systems 7 Research metrics can be used inappropriately - One metric used in isolation often leads to undesirable outcomes Research metrics can be manipulated - Normal research practice can be abused if you really try Also true of peer review - How can research metrics be used with similar trust and benefit? All merit systems should be based on multiple types of measurement: • Peer review • Expert opinion • Narrative • Research Metrics Research Metrics input should always rely on at least 2 metrics - Reduces opportunities to game and can drive desirable outcomes
  • 8. Research metrics indicate many different ways of being good 8 Research Metrics input should always rely on at least 2 metrics that ideally reflect distinct ways of performing excellently
  • 9. Within Research Area of “Sitting”: Output, citations and views show different ways of being excellent Most productive Most cited Most viewed
  • 10. Viewing activity is complementary to being cited Recent publication viewed, even though not cited yet Erratum not (expected to be) cited but actively looked at
  • 11. This publication is of global interest
  • 12. Snowball Metrics in a nutshell 12 • Bottom-up initiative: universities endorse metrics valuable to them to generate a strategic dashboard • Aim: enable benchmarking by driving quality and efficiency across higher education’s research and enterprise activities • Draw on all data available: university, commercial, public • Build on existing definitions and standards where sensible • Output: free recipes (methods) that can be used by anyone • www.snowballmetrics.com for more info and Recipe Book UK group
  • 14. Recipes: partner with businesses Contract Research Spin-Off-Related FinancesIP Volume / Licenses Academic-Corporate Collaboration
  • 15. Altmetrics: esteem and impact 15 Scholarly Activity: posts in scholarly tools Social Activity: social media posts Scholarly Commentary: comments in scholarly tools Mass Media: references from newspapers etc. Altmetrics - Esteem Altmetrics - Impact
  • 17. | 17 | | 17 Societal Economic Impact in SciVal - Patent Article Citations
  • 18. | 18 | | 18 Societal Economic Impact in Scival - Patent Article Citations
  • 19. Societal-economic impact 19 Partner with businesses • Academic-Corporate Collaboration • Business Consultancy Activities • Volume & financial benefits of IP & spin-outs Esteem • Scholarly Activity • Scholarly Commentary Impact • Social Activity • Mass Media • Public Engagement
  • 20. Brain and Neuroscience research is highly collaborative 20 Internationalcollaboration(%oftotaloutput)
  • 21. Brain and Neuroscience Researchers: cross-disciplinary mobility
  • 23. | 23 Four ingredients to be gatherer in order to analyze research 1. Data 3. Metrics 4. Tools 2. IT system Quality & reliability Transparency Granularity as hoc services & APIs Immediate access
  • 24. | 24 Documents under initial ENPC profile: 2,007 Scopus optimized identification of French affiliations
  • 25. | 25| 25| 25
  • 26. | 26| 26| 26
  • 27. • Offer a basket of metrics • That can be generated in an automated and scalable way, so they are available for all peers • Do not make decisions on behalf of users • Provide options and enable users to decide approach • Absolute transparency so you can make your own judgments about whether something is appropriate, or has been manipulated • No methodological black boxes – no exceptions • Transparency about underlying data contents and structure • Constructed in a reasoned way Research metrics: best practice in their supply 27
  • 28. Absolute transparency from your metrics supplier is essential 28 http://bit.ly/scivalmetricsguidebook http://bit.ly/usageguidebookhttp://bit.ly/hefceresponse
  • 29. Presented By Date Thank you for your time and attention