Cameron Neylon, Ludo Waltmann, Lucy Montgomery
The COKI team is excited to be working with CWTS to deliver a course on Scientometrics Using Open Data. As part of our growing collaboration the COKI team will work with the world-leading experts at CWTS to deliver an online synchronous course from October 31 to November 3. More details on the course are available below and on the CWTS website.
One of the challenges for uptake of open data sources in research evaluation is a lack of experience with these tools and training to work with them. Increasingly open data is more complete, more transparent and more usable than proprietary tools, and this means working with it differently. This course will provide research managers, research evaluators, scientometrics researchers and institutional leaders with the tools they need to apply open data to their challenges.
Scientometrics Using Open Data
Open data sources such as Crossref, DataCite, ORCID, OpenAlex, OpenCitations, and many others offer important opportunities to perform scientometric analyses in more transparent, inclusive, and reproducible ways. The course Scientometrics Using Open Data in our CWTS course program provides an introduction to the use of these open data sources. The next edition of the course will take place online in October 2023. The course is offered jointly by CWTS and the Curtin Open Knowledge Initiative (COKI).
Aim
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 landscape of open data sources
- Strengths and weaknesses of open data sources for different use cases
- Accessing and using open data sources
- Applications in research assessment and research policy
- Future trajectories – deciding when open data sources will be the right choice for your use case
Format
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.
Lecturers
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.
Audience
The course is targeted at participants with a professional interest in performing scientometric analyses using open data sources. The course is most beneficial for participants that already have some basic knowledge on scientometrics. There is room for at most 30 participants.
Schedule
The next edition of the course takes place online from October 31 to November 3, 2023. The course consists of four consecutive half-day sessions, which are scheduled from 9 to 13h CET (1800-2200AEST).
Course fee
The course fee is EUR 1000 excluding VAT.
Registration
To register for the course, please use this booking form. Registration is on a first come, first serve basis.
Contact
Please contact Karin den Dulk for further information about the course.
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