Can GraphQL be FAIR
summary
Argues that GraphQL can make datasets FAIR by serving data, metadata and discovery APIs together, citing a prototype that maps dcat -> GraphQL in a day using GraphQL Yoga and emerging packages that put GraphQL over SPARQL (Virtuoso plugin, npm/JavaScript wrappers). Names the triple API challenge (data, metadata, discovery), cites EU estimates of €10–26B lost annually for non‑FAIR data, and suggests combining data profiling and AI to automate roughly 70% metadata creation so machines gain actionable context.
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chapters (7)
- 0:00Introduction and welcome
- 1:25GraphQL in the data space
- 7:45Metadata challenges in data
- 15:53FAIR data principles
- 21:10GraphQL as the solution
- 23:37Bridging tech and data communities
- 28:37Q&A and future outlook
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