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Bibliometrics in the library, putting science into practice W. Gerritsma, M.E. Loman, J.M.S. Renkema,  P.L. van der Togt, I.V. Veerman, M.G.P. van Veller
Outline Introduction  Research assessment and bibliometrics Our approach Some results The library, the place to be
Introducing Wageningen UR Wageningen University & Research is the result of the merger between Wageningen University and the former DoA research institutes Life Sciences domain Some 5500 researchers, 6400 students Strong international focus
Bibliometrics at Wageningen UR Library Since the 1990s’ few citation analyses with SciSearch on Dialog and DIMDI 2001: Web of Science Collection analysis Finger exercises with citation analysis 2004: Essential Science Indicators  Citation analysis for graduate school WIAS 2008: Implementation as a service on our (metadata-)repository Wageningen Yield
Research assessment in the Netherlands Supervised by VSNU/QANU 6 year cycle for external peer reviews After 3 years midterm review Quality, Productivity, Relevance, Vitality & Visibility Citation analyses are not stipulated in the current Standard Evaluation Protocol. But have become mandatory at Wageningen UR
Metis and the repository Wageningen Yield Metis is a research management system Information on all labour relations of all faculty and staff Information on all projects Information on all outputs (metadata of publications) Data entry at the chair group level   Quality control by the library (inclusion of DOI) Wageningen Yield is the repository of Wageningen UR Synchronized each night with the updates from Metis Wageningen Yield is also an OA repository
Bibliometrics in Wageningen Yield Coupling of WaY metadata and Web of Science incorporating UT number in WaY. Using the InCitesAPI, majority of coupling by DOI Updating citation data/baselines 2 to 3 times per year Determination of “advanced” bibliometric indicators All citation data and publication lists and indicators open for inspection for faculty and staff
Advanced bibliometric indicators Follow van Raan (1996) as closely as possible; but..... Web of Science is used for citation data We can’t make corrections for self citations Essential Science Indicators for baseline data (World average, Top 10% and Top 1%) Limited number of research fields (22) Same baseline data used for selected document types (articles, reviews, notes and letters (and selected proceedings)) We can determine the representativeness of the citation analysis
Bibliometric indicators: An example Zee, F.P.v.d., G. Lettinga, and J.A. Field (2001) Azo dye decolourisation by anaerobic granular sludge. Chemosphere 44:1169-1176. Citations from WoS: 94 Journal: Chemosphere Categorised by ESI in Environment/Ecology Baseline data for Environment/Ecology.  Article from 2001 in Environment/ecology:  On average: 19.36 citations; top 10%: 44 citations; top1%: 141 citations Relative Impact: 94 / 19.36 = 4.9
Data aggregation in Wageningen Yield “MNCS2” like “Crown Indicator” like
Representativeness
Results:Some screen shots
Some screenshots: Search interface
Some screenshots: Search interface
Some screenshots: Publication list
About the library role
Matching Wageningen Yield (WaY) and WoS 1161 peer reviewed articles not in ISI journals Missing in WoS:  1159 articles WaY: 10933 articles WoS: 9577 articles Missing in Way:  807 articles Period: 2002-2007
Why at the library? Library is the functional manager of Metis / Way because of wide experience with bibliographic metadata Library manages contracts with publisher(s) of external databases Library has experience in developing and maintaining large databases Library has ample experience in searching complicated databases such as Web of Science
Advantage of using Metis / WaY Improvements in publication lists, etc. recorded Knowledge of, and experience with bibliometric analyses is better institutionalized  Clarity / transparency for researchers Analysis of a single unit of the institute offers advantages for whole institute Better understanding of our own researchers We know where they publish We know what they cite We know something about their impact
Raising library awareness Improvement of the (metadata) quality in the repository Many presentations for research groups during the preparation of peer reviews Presentations based on detailed studies of single groups Library gives advice on publication strategies for groups and individuals
Closing the circle: Collection analysis With the coupling of publication with WoS  We have insight in the relation Research group – Researchers – Publications – Reference list It is feasible to assign journal usage at faculty level
What’s next Statistics Journal analysis Scopus and Google Scholar DAI/ResearchID/ScopusID
Thank you! This presentation: http://slideshare.net/wowter

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Bibliometrics in the library, putting science in to practice

  • 1. Bibliometrics in the library, putting science into practice W. Gerritsma, M.E. Loman, J.M.S. Renkema, P.L. van der Togt, I.V. Veerman, M.G.P. van Veller
  • 2. Outline Introduction Research assessment and bibliometrics Our approach Some results The library, the place to be
  • 3. Introducing Wageningen UR Wageningen University & Research is the result of the merger between Wageningen University and the former DoA research institutes Life Sciences domain Some 5500 researchers, 6400 students Strong international focus
  • 4. Bibliometrics at Wageningen UR Library Since the 1990s’ few citation analyses with SciSearch on Dialog and DIMDI 2001: Web of Science Collection analysis Finger exercises with citation analysis 2004: Essential Science Indicators Citation analysis for graduate school WIAS 2008: Implementation as a service on our (metadata-)repository Wageningen Yield
  • 5. Research assessment in the Netherlands Supervised by VSNU/QANU 6 year cycle for external peer reviews After 3 years midterm review Quality, Productivity, Relevance, Vitality & Visibility Citation analyses are not stipulated in the current Standard Evaluation Protocol. But have become mandatory at Wageningen UR
  • 6. Metis and the repository Wageningen Yield Metis is a research management system Information on all labour relations of all faculty and staff Information on all projects Information on all outputs (metadata of publications) Data entry at the chair group level Quality control by the library (inclusion of DOI) Wageningen Yield is the repository of Wageningen UR Synchronized each night with the updates from Metis Wageningen Yield is also an OA repository
  • 7. Bibliometrics in Wageningen Yield Coupling of WaY metadata and Web of Science incorporating UT number in WaY. Using the InCitesAPI, majority of coupling by DOI Updating citation data/baselines 2 to 3 times per year Determination of “advanced” bibliometric indicators All citation data and publication lists and indicators open for inspection for faculty and staff
  • 8. Advanced bibliometric indicators Follow van Raan (1996) as closely as possible; but..... Web of Science is used for citation data We can’t make corrections for self citations Essential Science Indicators for baseline data (World average, Top 10% and Top 1%) Limited number of research fields (22) Same baseline data used for selected document types (articles, reviews, notes and letters (and selected proceedings)) We can determine the representativeness of the citation analysis
  • 9. Bibliometric indicators: An example Zee, F.P.v.d., G. Lettinga, and J.A. Field (2001) Azo dye decolourisation by anaerobic granular sludge. Chemosphere 44:1169-1176. Citations from WoS: 94 Journal: Chemosphere Categorised by ESI in Environment/Ecology Baseline data for Environment/Ecology. Article from 2001 in Environment/ecology: On average: 19.36 citations; top 10%: 44 citations; top1%: 141 citations Relative Impact: 94 / 19.36 = 4.9
  • 10. Data aggregation in Wageningen Yield “MNCS2” like “Crown Indicator” like
  • 17. Matching Wageningen Yield (WaY) and WoS 1161 peer reviewed articles not in ISI journals Missing in WoS: 1159 articles WaY: 10933 articles WoS: 9577 articles Missing in Way: 807 articles Period: 2002-2007
  • 18. Why at the library? Library is the functional manager of Metis / Way because of wide experience with bibliographic metadata Library manages contracts with publisher(s) of external databases Library has experience in developing and maintaining large databases Library has ample experience in searching complicated databases such as Web of Science
  • 19. Advantage of using Metis / WaY Improvements in publication lists, etc. recorded Knowledge of, and experience with bibliometric analyses is better institutionalized Clarity / transparency for researchers Analysis of a single unit of the institute offers advantages for whole institute Better understanding of our own researchers We know where they publish We know what they cite We know something about their impact
  • 20. Raising library awareness Improvement of the (metadata) quality in the repository Many presentations for research groups during the preparation of peer reviews Presentations based on detailed studies of single groups Library gives advice on publication strategies for groups and individuals
  • 21. Closing the circle: Collection analysis With the coupling of publication with WoS We have insight in the relation Research group – Researchers – Publications – Reference list It is feasible to assign journal usage at faculty level
  • 22. What’s next Statistics Journal analysis Scopus and Google Scholar DAI/ResearchID/ScopusID
  • 23. Thank you! This presentation: http://slideshare.net/wowter