FAIRness with FHIR

RDA Maturity Model

According to the Research Data Alliance FAIR Data Maturity Model Working Group, the RDA Maturity Model specifies indicators for assessing adherence to the FAIR principles. These indicators are designed for re-use in evaluation approaches and are accompanied by guidelines for their use. The guidelines are intended to assist evaluators to implement the indicators in the evaluation approach or tool they manage.

• FAIR Data Maturity Model_ specification and guidelines_v1.00.pdf
• FAIR_evaluation_levels_v0.01.xlsx

Material

• Philip van Damme: FHIR for scientific data: implementing the FAIR principles. DevDays June 2022. Youtube

Publications

Some Publications might held in understanding the effort (not exclusive):

• Klopfenstein SAI, Vorisek CN, Shutsko A, Lehne M, Sass J, Löbe M et al. Fast Healthcare Interoperability Resources (FHIR) in a FAIR Metadata Registry for COVID-19 Research. Studies in health technology and informatics 2021; 287:73–7. doi: 10.3233/SHTI210817.
• Martínez-García A, Cangioli G, Chronaki C, Löbe M, Beyan O, Juehne A et al. FAIRness for FHIR: Towards Making Health Datasets FAIR Using HL7 FHIR. Studies in health technology and informatics 2022; 290:22–6. doi: 10.3233/SHTI220024.
• van Damme P, Löbe M, Benis N, Keizer NF de, Cornet R. Assessing the use of HL7 FHIR for implementing the FAIR guiding principles: a case study of the MIMIC-IV Emergency Department module. JAMIA Open 2024; 7(1). doi: 10.1093/jamiaopen/ooae002.