Compared with proprietary scientometric data sources, open data sources enable more responsible approaches to the use of scientometric information in research assessment and research policy. The course Scientometrics Using Open Data aims to provide a practical introduction to open scientometric data sources and their use in research assessment and research policy contexts. The course focuses on the following topics:
The course will combine lectures, practical exercises, and discussions. Practical exercises will include accessing open data sources through APIs and querying open data sources using Google Big Query. Participants are invited to bring their own use case and to explore the application of open data sources for that use case.
The course is provided by lecturers from CWTS and COKI, including Bianca Kramer, Lucy Montgomery, Cameron Neylon, Nees Jan van Eck, and Ludo Waltman. The lecturers have an extensive expertise on open data sources for scientometric analyses, ranging from research applications through to production systems used in real-life evaluations. They have used open data sources in a range of policy contexts, including monitoring of open access policy compliance, analysis of global scientific collaboration, and national research evaluations.
To register for the course, please use this booking form. Registration is on a first come, first serve basis.
The general terms and conditions of CWTS BV are applicable.