<  Back to Sessions
Session Presentation

Can GraphQL be FAIR?

Pascal Heus Profile Image
Pascal HeusPostman, AI/Data Lead

Join us for an exciting  presentation that explores the intersection of Findable-Accessible-Interoperable-Reusable (FAIR) data and GraphQL. (FAIR)[https://www.go-fair.org/fair-principles/] is a set of principles that have been endorsed by the data producers, custodians, researchers, and scientific communities worldwide, emphasizing the importance of machine-actionability, metadata, unique identifiers, standardization, and related best practices. GraphQL, as a groundbreaking data query language and API, is ideally positioned to support such principles. In this talk, we will provide an overview of FAIR and open the discussion around potential integration and synergies with GraphQL to help turn the FAIR vision into reality. Such integration would also expose GraphQL to new audiences and drive its adoption. As a bonus topic, we will also explore the potential relationship and synergies between GraphQL and SPARQL, the RDF Query Language, such as exposing SPARQL endpoints as GraphQL APIs and integrating semantic RDF data into the GraphQL data graph.