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The need for contextualized
scientometric analysis
Ludo Waltman and Nees Jan van Eck
Centre for Science and Technology Studies
Leiden University
STI Conference 2016, Valencia, Spain
September 16, 2016
Evaluative scientometrics:
Basic research at CWTS
1
Evaluative scientometrics:
Applied work at CWTS
2
To what degree does research evaluation
truly benefit from our work?
3
Do we fully exploit the possibilities of
scientometric analyses?
What should be the main focus of
research in evaluative scientometrics?
Trends in evaluative scientometrics
• Increasingly sophisticated indicators
• Do-it-yourself bibliometrics
• Informed peer review
• Altmetrics
4
Simple vs. advanced indicators
Simple indicators
• Low accuracy
• Easy to understand
• Limitations are evident
Advanced indicators
• High accuracy
• Hard to understand
• Limitations are hidden in
technical details
5
Dilemma of informed peer review
Domain experts
• Deep domain knowledge
• No scientometric
knowledge
Scientometricians
• Deep scientometric
knowledge
• No domain knowledge
6
How should these two groups communicate?
A common language is lacking
Dilemma of informed peer review
• Triangulation of expert knowledge and scientometric
indicators is difficult without a common language
• Scientometric indicators are either rejected or blindly
trusted
• Overemphasis on what can be quantified easily
7
Contextualized scientometric analysis
• Context
– Allow data underlying an indicator to be explored
• Simplicity
– Increased sophistication comes at a price; value simplicity
– Stop being overly negative about impact factors and h-indices
• Diversity
– To avoid overemphasizing what can be quantified easily, diversity of
indicators is essential
– Better to have indicators of low accuracy than no indicators at all
8
9
10
11
Advanced bibliometric indicators vs.
contextualized scientometric analysis
Advanced bibliometric
indicators
• Offer reasonably accurate
but incomplete
information
• Little room for deeper
understanding
• To be used for macro-
level evaluations
Contextualized
scientometric analysis
• Offers detailed
information requiring
careful interpretation
• Allows triangulating
expert knowledge and
indicators
• To be used for micro-level
and meso-level
evaluations
12
Conclusions
• Scientometricians should shift their attention from
advanced bibliometric indicators to contextualized
scientometric analysis
• New research questions:
– How to make contextual information available (e.g., interactive user
interfaces, visualizations)?
– How to guide domain experts in the use of this information?
– How to fulfill the promise of informed peer review?
13
Thank you for your attention!
14

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The need for contextualized scientometric analysis

  • 1. The need for contextualized scientometric analysis Ludo Waltman and Nees Jan van Eck Centre for Science and Technology Studies Leiden University STI Conference 2016, Valencia, Spain September 16, 2016
  • 4. To what degree does research evaluation truly benefit from our work? 3 Do we fully exploit the possibilities of scientometric analyses? What should be the main focus of research in evaluative scientometrics?
  • 5. Trends in evaluative scientometrics • Increasingly sophisticated indicators • Do-it-yourself bibliometrics • Informed peer review • Altmetrics 4
  • 6. Simple vs. advanced indicators Simple indicators • Low accuracy • Easy to understand • Limitations are evident Advanced indicators • High accuracy • Hard to understand • Limitations are hidden in technical details 5
  • 7. Dilemma of informed peer review Domain experts • Deep domain knowledge • No scientometric knowledge Scientometricians • Deep scientometric knowledge • No domain knowledge 6 How should these two groups communicate? A common language is lacking
  • 8. Dilemma of informed peer review • Triangulation of expert knowledge and scientometric indicators is difficult without a common language • Scientometric indicators are either rejected or blindly trusted • Overemphasis on what can be quantified easily 7
  • 9. Contextualized scientometric analysis • Context – Allow data underlying an indicator to be explored • Simplicity – Increased sophistication comes at a price; value simplicity – Stop being overly negative about impact factors and h-indices • Diversity – To avoid overemphasizing what can be quantified easily, diversity of indicators is essential – Better to have indicators of low accuracy than no indicators at all 8
  • 10. 9
  • 11. 10
  • 12. 11
  • 13. Advanced bibliometric indicators vs. contextualized scientometric analysis Advanced bibliometric indicators • Offer reasonably accurate but incomplete information • Little room for deeper understanding • To be used for macro- level evaluations Contextualized scientometric analysis • Offers detailed information requiring careful interpretation • Allows triangulating expert knowledge and indicators • To be used for micro-level and meso-level evaluations 12
  • 14. Conclusions • Scientometricians should shift their attention from advanced bibliometric indicators to contextualized scientometric analysis • New research questions: – How to make contextual information available (e.g., interactive user interfaces, visualizations)? – How to guide domain experts in the use of this information? – How to fulfill the promise of informed peer review? 13
  • 15. Thank you for your attention! 14