Presentation delivered by Wouter Gerritsma during Open Access Week @ AIMS 2012 http://aims.fao.org/oa-week-2012

1. Value-added services for the Wageningen
Institutional Repository (WaY)
Wouter Gerritsma, WageningenUR Library

2. Outline
 Our systems, metis and Wageningen Yield
 Value added services
● Bibliomtrics
● Tenure track
 Why in the library
 OA @ Wageningen UR

3. Metis, a current research information
system - CRIS
 Data entry system for the repository

4. Metis, a current research information
system - CRIS
 Data entry system for the repository
 Data entry by office managers at science groups

5. Metis, a current research information
system - CRIS
 Data entry system for the repository
 Data entry by office managers at science groups
 Validation of records by library staff
● Uploading of the full text to the e-depot
● Maintenance of journal lists (peer reviewed or not)
● Maintenance of book publishers list

6. Metis, a current research information
system - CRIS
 Data entry system for the repository
 Data entry by office managers at science groups
 Validation of records by library staff
● Uploading of the full text to the e-depot
● Maintenance of journal lists (peer reviewed or not)
● Maintenance of book publishers list
 Compulsory data entry
● Peer reviews, evaluations and bonuses on the basis
of information available in metis

7. Wageningen Yield
 Comprehensive bibliography of all WageningenUR output
● Since 1976 for university
● Since 1996 for the research institutes

8. Wageningen Yield
 Comprehensive bibliography of all WageningenUR output
● Since 1976 for university
● Since 1996 for the research institutes
 Contains 190,000 metadata records

9. Wageningen Yield
 Comprehensive bibliography of all WageningenUR output
● Since 1976 for university
● Since 1996 for the research institutes
 Contains 190,000 metadata records
 Includes 40,000 Open Access full text items

10. Wageningen Yield
 Comprehensive bibliography of all WageningenUR output
● Since 1976 for university
● Since 1996 for the research institutes
 Contains 190,000 metadata records
 Includes 40,000 Open Access full text items
 Since 2003 fed by metis, currently some 100,000 records

11. Wageningen Yield
 Comprehensive bibliography of all WageningenUR output
● Since 1976 for university
● Since 1996 for the research institutes
 Contains 190,000 metadata records
 Includes 40,000 Open Access full text items
 Since 2003 fed by metis, currently some 100,000 records
 Overnight WaY is synchronised with updates from metis

12. Wageningen Yield
 Comprehensive bibliography of all WageningenUR output
● Since 1976 for university
● Since 1996 for the research institutes
 Contains 190,000 metadata records
 Includes 40,000 Open Access full text items
 Since 2003 fed by metis, currently some 100,000 records
 Each night WaY is synchronised with updates from metis
 By far the largest OA repository in the Netherlands

14. Value added services
 Bibliometric reports for any unit of Wageningen UR at
any moments available
 Since 2010 used for tenure track reports with respect to
publication credits

15. Evaluation cycle at universities
 Supervised by VSNU/QANU
● 6 year cycle for external peer reviews
● After 3 years midterm review
● Unit of analysis (in Wageningen): Graduate schools
 Citation analyses are not stipulated in the current
Standard Evaluation Protocol. They have become
mandatory at Wageningen UR, also at the social sciences
department and the research institutes

16. Advanced bibliometric analyses
 Citation data is downloaded from Web of Science

17. Advanced bibliometric analyses
 Citation data is downloaded from Web of Science
 Comparisons of citations with baseline data from the
Essential Science Indicators are made

18. Advanced bibliometric analyses
 Citation data is downloaded from Web of Science
 Comparisons of citations with baseline data from the
Essential Science Indicators are made
 Relative impact, percentage top10% most cited papers
(%T10%) and percentage top1% most cited papers
(%T1%) are calculated.

19. Coupling with WoS and ESI
 WoS identifiers (UT) are obtained with an API

20. Coupling with WoS and ESI
 WoS identifiers (UT) are obtained with an API
 With the UT, citations per article can be retrieved from
WoS

21. Coupling with WoS and ESI
 WoS identifiers (UT) are obtained with an API
 With the UT, citations per article can be retrieved from
WoS
 From the Essential Science Indicators (ESI)
● Average citation rates
● Percentiles (Top 10% en Top1%)

22. Why do we need baselines?
 Scientist Z. Math has a publication from 2001 with 17 citations
 Scientist M. Biology has a publication from 2007 with 32 citations

23. Baselines for Mathematics

24. Baselines for Mathematics

25. Baselines for Molecular Biology

26. Baselines for Molecular Biology

27. For a single publication
 Zee, F.P.v.d., G. Lettinga & J.A. Field (2001) Azo dye
decolourisation by anaerobic granular sludge.
Chemosphere 44:1169-1176.
● Citations from Web of Science: 94

28. For a single publication
 Zee, F.P.v.d., G. Lettinga & J.A. Field (2001) Azo dye
decolourisation by anaerobic granular sludge.
Chemosphere 44:1169-1176.
● Citations from Web of Science: 94
 Journal: Chemosphere

29. For a single publication
 Zee, F.P.v.d., G. Lettinga & J.A. Field (2001) Azo dye
decolourisation by anaerobic granular sludge.
Chemosphere 44:1169-1176.
● Citations from Web of Science: 94
 Journal: Chemosphere
 Categorised by ESI in Environment/Ecology

30. For a single publication
 Zee, F.P.v.d., G. Lettinga & J.A. Field (2001) Azo dye
decolourisation by anaerobic granular sludge.
Chemosphere 44:1169-1176.
● Citations from Web of Science: 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

31. For a single publication
 Zee, F.P.v.d., G. Lettinga & J.A. Field (2001) Azo dye
decolourisation by anaerobic granular sludge.
Chemosphere 44:1169-1176.
● Citations from Web of Science: 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

32. Advanced bibliometric indicators
 Follow Moed (1995) as closely as possible; but.....
Moed, H.F., R.E. de Bruin & T.N. van leeuwen (1995). New bibliometric tools for the assessment of national research
performance: Database description, overview of indicators and first applications. Scientometrics, 33(3): 381-422.
http://dx.doi.org/10.1007/BF02017338

33. Advanced bibliometric indicators
 Follow Moed (1995) as closely as possible; but.....
 Web of Science is used for citation data
● We can’t make corrections for self citations
Moed, H.F., R.E. de Bruin & T.N. van leeuwen (1995). New bibliometric tools for the assessment of national research
performance: Database description, overview of indicators and first applications. Scientometrics, 33(3): 381-422.
http://dx.doi.org/10.1007/BF02017338

34. Advanced bibliometric indicators
 Follow Moed (1995) 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)
Moed, H.F., R.E. de Bruin & T.N. van leeuwen (1995). New bibliometric tools for the assessment of national research
performance: Database description, overview of indicators and first applications. Scientometrics, 33(3): 381-422.
http://dx.doi.org/10.1007/BF02017338

35. Advanced bibliometric indicators
 Follow Moed (1995) 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)
 We can determine the representativeness of the citation
analysis!
Moed, H.F., R.E. de Bruin & T.N. van leeuwen (1995). New bibliometric tools for the assessment of national research
performance: Database description, overview of indicators and first applications. Scientometrics, 33(3): 381-422.
http://dx.doi.org/10.1007/BF02017338

36. Representativeness
SEP Table "Plant Production Systems" 2005-
2010
1. Academic publications a. Refereed articles 324
b. Non-refereed articles 7
c. Books 1
d.1. Refereed book chapters 36
d.2. Non-refereed book chapters 13
e. PhD Theses 45
f. Conference papers 137
Total publications 563

37. Representativeness
SEP Table "Plant Production Systems" 2005-
2010 WoS Repr
1. Academic publications a. Refereed articles 324 288 89%
b. Non-refereed articles 7
c. Books 1
d.1. Refereed book chapters 36
d.2. Non-refereed book chapters 13
e. PhD Theses 45
f. Conference papers 137
Total publications 563

38. Slice and dice any way you wish

39. The citation reports are created for any set
of publications

40. The citation reports are created for any set
of publications

41. Accountability is of utmost importance!

42. Publication credits for Tenure track

43. Why in the library?
 Library is the functional manager of Metis / WaY because
of wide experience with bibliographic metadata

44. Why in 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 that are being used

45. Why in 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 that are being used
 Library has experience in developing and maintaining
large databases

46. Why in 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 that are being used
 Library has experience in developing and maintaining
large databases
 Library has ample experience in searching complicated
databases such as Web of Science

47. Advantage of using Metis / WaY
 Improvements in publication lists, etc. recorded

48. Advantage of using Metis / WaY
 Improvements in publication lists, etc. recorded
 Knowledge of, and experience with bibliometric analyses
is better institutionalized

49. 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

50. 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 within the institute offers
advantages for the organization as a whole

51. 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 within the institute offers
advantages for the organization as a whole
 More visibility through Open Access management

52. 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 within the institute offers
advantages for the organization as a whole
 More visibility through Open Access management
 Better understanding of our own researchers
● We know where they publish
● We know what they cite
● We know something about their impact

53. Open Access @Dutch universties

54. Open Access @ Dutch universities

55. Current additional growth through
digitisation of heritage material
PY 2007-2012
PY 2006-2011
Pre 2007
Pre 2006
Dec 2011 Oct 2012

56. Publication behaviour

58. Lessons learned
 Start small, gain experience

59. Lessons learned
 Start small, gain experience
 Show you can pull it off

60. Lessons learned
 Start small, gain experience
 Show you can pull it off
 Be transparent

61. Lessons learned
 Start small, gain experience
 Show you can pull it off
 Be transparent
 How much is your university spending on bibliometrics?

62. Lessons learned
 Start small, gain experience
 Show you can pull it off
 Be transparent
 How much is your university spending on bibliometrics?
 Invest those resources in your own systems

63. Thank you!
http://tinyurl.com/7r67fmm
On the Web:
@wowter
wowter.net
www.slideshare.net/wowter