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How Wageningen University and Research Centre Managed to Influence Researchers Publishing Behaviour Towards more Quality, Impact and Visibility
- Source :
- Procedia Computer Science, 106, 204-211, CRIS, Procedia Computer Science 106 (2017)
- Publication Year :
- 2017
-
Abstract
- Wageningen University and Research Center (WUR) is one of the most prestigious research institutions in the world in life sciences and improved significantly in several rankings over the last years. One of the ‘drivers’ of this success story is a comprehensive quality management exercise based on Research information from an integrated CRI system, that managed to influence researchers publishing behaviour towards more quality, impact and visibility.So first WUR‘s highly efficient research quality management exercise is introduced, that was established some years ago and enrolls in 4 phases: (1) define quality criteria (2) measure quality criteria (3) interpret quality criteria (4) act accordingly. Comprehensive bibliometric figures from the last 10 years show, that the approach had the intended effect.Furthermore the paper portrays the very inspiring strategy WUR applied to ensure acceptance and use of the system in favour of data quality and -quantity; the approach is based on an institution-wide network of CRIS ‘super-users‘, who - after being educated and certified in context of a train-the-trainer exercise - in their organisational context act as evangelists, encourage colleagues to use the system and educate others.
- Subjects :
- Quality management
Operations research
research quality
Computer science
media_common.quotation_subject
Context (language use)
02 engineering and technology
Certification
publishing behaviour
0202 electrical engineering, electronic engineering, information engineering
Quality (business)
Library Systems & Metadata
General Environmental Science
media_common
business.industry
Visibility (geometry)
020206 networking & telecommunications
Public relations
Publishing
Data quality
impact
General Earth and Planetary Sciences
020201 artificial intelligence & image processing
business
Research center
Subjects
Details
- Language :
- English
- ISSN :
- 18770509
- Database :
- OpenAIRE
- Journal :
- Procedia Computer Science, 106, 204-211, CRIS, Procedia Computer Science 106 (2017)
- Accession number :
- edsair.doi.dedup.....39a3386195816c60ea847c47e6f2e074