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Description: For metadata to be FAIR, it should use concepts from controlled vocabularies. The Metadata for Machines course helps you to understand how to find, select and reuse vocabularies. Sometimes, however, the appropriate vocabulary is missing, requiring the extension of existing resources or even the creation of new vocabularies. The course provides a step-by-step guide on how to make a vocabulary FAIR. It also explains how to set up a namespace and vocabulary infrastructure, and how to maintain the vocabulary. Learning Objectives: After completion of the course the trainees will be able to explain semantic artifacts and the semantic ladder, and be knowledgeable about domain-relevant community standards as it relates to semantics. They will be able to set up a vocabulary, learn about mapping techniques and governance models.