Value-added services for the Wageningen Institutional Repository (WaY)

Value-added services for the Wageningen Institutional Repository (WaY)

Wouter Gerritsma, WageningenUR Library

Outline

Our systems, metis and Wageningen Yield

Value added services

●Bibliomtrics

●Tenure track

Why in the library

OA @ Wageningen UR

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




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

Wageningen Yield

Comprehensive bibliography of all WageningenUR output

●Since 1976 for university

●Since 1996 for the research institutes

Wageningen Yield




Contains 190,000 metadata records

Wageningen Yield





Includes 40,000 Open Access full text items

Wageningen Yield






Since 2003 fed by metis, currently some 100,000 records

Wageningen Yield







Overnight WaY is synchronised with updates from metis

Wageningen Yield







Each night WaY is synchronised with updates from metis

By far the largest OA repository in the Netherlands

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

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

http://www.qanu.nl/comasy/uploadedfiles/SEP20091052.pdf

Advanced bibliometric analyses

Citation data is downloaded from Web of Science



Comparisons of citations with baseline data from the Essential Science Indicators are made



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.

Coupling with WoS and ESI

WoS identifiers (UT) are obtained with an API



With the UT, citations per article can be retrieved from WoS



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%)

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

Baselines for Mathematics

Baselines for Mathematics

Baselines for Molecular Biology

Baselines for Molecular Biology

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






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

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



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)






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!


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

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

Slice and dice any way you wish

The citation reports are created for any set of publications

The citation reports are created for any set of publications

Accountability is of utmost importance!

Publication credits for Tenure track

Why in the library?

Library is the functional manager of Metis / WaY because of wide experience with bibliographic metadata

Why in the library?


Library manages contracts with publisher(s) of external databases that are being used

Why in the library?



Library has experience in developing and maintaining large databases

Why in the library?



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 within the institute offers advantages for the organization as a whole






More visibility through Open Access management






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

Open Access @Dutch universties

Open Access @ Dutch universities

Current additional growth through digitisation of heritage material

Dec 2011 Oct 2012

PY 2006-2011

PY 2007-2012

Pre 2006

Pre 2007

Publication behaviour

Lessons learned

Start small, gain experience

Lessons learned


Show you can pull it off

Lessons learned



Be transparent

Lessons learned



Be transparent

How much is your university spending on bibliometrics?

Lessons learned



Be transparent

How much is your university spending on bibliometrics?

Invest those resources in your own systems

Thank you!

On the Web:@wowterwowter.netwww.slideshare.net/wowter

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http://www.twitter.com/wowter

http://wowter.net/

http://www.slideshare.net/wowter



http://creativecommons.org/licenses/by/3.0/nl/

Education

Value-added services for the Wageningen Institutional Repository (WaY)