This session will introduce FAIR health data sets and associated maturity models. Attendees will learn about measuring the degree of Findability, Accessibility, Interoperability, and Reusability (FAIR). After introduction to Data FAIRness and the FAIR4Health Project, the FAIRness indicators under the FAIR maturity model developed by RDA will be presented. Then, the FAIRification tools developed in the FAIR4Health project used for distributed data mining will be demonstrated. Finally, the emerging FHIR standards supported by the HL7 exploratory project on HL7 FHIR ways to deliver FAIR health data sets, "FAIRness for HL7 FHIR" will be presented with an invitation to participate and contribute. The session is organized by FAIR4Health project and supported by EFMI, RDA, and HL7 Europe.