Selecting the most appropriate controlled vocabularies (e.g., SNOMED CT, ICD-10 or custom domain ontologies) to ensure semantic consistency and interoperability across your dataset.
ontology choices
01
Leveraging APIs and registries (such as OLS or BioPortal) to automatically discover, query and integrate standard terms and definitions into your metadata.
Structuring your data as subject-predicate-object statements in Resource Description Framework (RDF) to build a machine-readable knowledge graph of relationships and enable advanced querying.
Knowledge Craft Based on RDF Triples
03
Your FAIRification Experts
speakers
FAIR Data Specialist
Aliya Aktau
Data Science professional
Olzhas Aldabergenov
Aliya Aktau is co-author of Chapter 13, "Creation of a FAIR Data Point for a Clinical Trial," in the edited volume Fair Data, FAIR Africa, FAIR World: Internationalisation of the Health Data Space (2025).
In this chapter, she outlines a rigorous ten-step workflow for transforming legacy schistosome infection trial data into a publicly accessible FAIR Data Point—demonstrating the very principles and expertise she brings to this webinar.
