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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Benchmarking biology research organizations using a new, dedicated tool.
Willem H van Harten1, Leonard van Bokhorst, Henri G A M van Luenen
1The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands. w.v.harten@nki.nl <w.v.harten@nki.nl>
Molecular Oncology
|October 13, 2009
Summary
A new benchmark tool for research organizations places group leaders centrally, enabling performance comparisons and improvement suggestions. Pilot studies confirm its feasibility for assessing scientific institutions.
Area of Science:
- Organizational studies
- Scientific management
- Research performance evaluation
Background:
- Increasing international competition necessitates performance assessment for fundamental research organizations.
- Existing benchmark models do not centralize the group leader's role.
- Effective performance metrics are crucial for scientific institutions' strategic development.
Purpose of the Study:
- To introduce a novel benchmark tool for scientific research organizations.
- To position the group leader centrally within the organizational structure for assessment.
- To evaluate the tool's efficacy in a pilot study across multiple institutions.
Main Methods:
- Development of a new benchmark tool with a central group leader focus.
- Conducting a pilot benchmark study involving six diverse research institutions.
- Collecting and comparing organizational data based on the new tool's parameters.
Main Results:
- Successful data collection and comparison were achieved using the new tool.
- The tool facilitated the comparison of relative performance and organizational characteristics.
- Actionable suggestions for improvement were generated for the majority of participating institutions.
Conclusions:
- The developed benchmark tool is feasible for assessing scientific research organizations.
- Centralizing the group leader role offers a unique perspective for performance evaluation.
- Standardized parameter definitions and deep organizational insight are vital for robust benchmark conclusions.

