Linked data for science and innovation studies

23-24 March at VU University Amsterdam

This course, organized as a mixture of lectures, hands-on and discussion sessions, is about understanding Linked (Open) Data and how it can be used in science and innovation studies.


  1. the motivations behind publishing Linked (Open) Data compared to the traditional centralized data silos. Then, we will discuss the basic principles and building blocks of the Linked Data.
  2. the knowledge and tools required to generate, store, query, analyze, and visualize Linked Data.

Throughout the lectures, we will provide hands-on sessions for people to practice and interact with Linked Data in the domain of science and innovation studies. We will demonstrate how the data available within RISIS can be linked to, and in that way enriched by, open data. Various services embedded in the Semantically Mapping Science (SMS) platform will be used for this.

Further details

No previous knowledge of Linked Open Data is required. Previous experience with programming and database technology will be helpful, but is not strictly required. Participants are expected to bring their own laptops for the hands-on sessions.

  • Please send us your CV together with a brief motivation letter if you are interested in joining the course. Deadline is 10 March.

Further details of the course and how to register can be found here.