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Project Information

The scope of this project is to provide guidance on how HL7 FHIR can be used for supporting FAIR health data implementation and assessment, specifically:

the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles
the proposed RDA (Research Data Alliance) - https://www.rd-alliance.org/ - recommendations on FAIR data maturity model, providing indicators for assessing adherence to the FAIR principles.
the recommendations of RDA Reproducible Health Services Working Group for describing, documenting, and sharing metadata for health data curation workflows

This will be done by developing a FHIR4FAIR FHIR Implementation Guide aiming to:

1) Identify how HL7 FHIR standard fulfills data FAIRness maturity indicators

a) analyze the relationship between FAIR data object conceptual components (e.g. data, metadata, provenance, identifiers) and HL7 FHIR resources

b) analyze how RDA FAIR Maturity indicators are supported by specific HL7 FHIR resources

c) analyze how RDA Reproducible Health Data Services recommendations can be supported by HL7 FHIR

d) identify a minimum set of metadata to be fulfilled for specific sets of RDA FAIRness maturity indicators extended of health-related research data sets.

e) provide examples of best practices from EOSC (European Open Science Cloud https://www.eosc-portal.eu/) or NIH (https://www.nih.gov/)

2) Suggest an assessment methodology/checklist, exploring machine-readable and manual assessment methods.

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Goals

Facilitate the collaboration between the FAIR and the FHIR communities
Enable a cooperative usage of the FHIR and FAIR paradigms.
Support the health data FAIRness assessment by using HL7 FHIR conformance resources.

Objective

Develop a HL7 FHIR Implementation guide - called FHIR4FAIR FHIR IG - providing guidance on how HL7 FHIR can be used for supporting FAIR health data implementation and assessment

more details in the FAIRness for FHIR Project Scope Statement