Utilising the FOXS Stack for FAIR Architected Data Access

Meredith, John; Whitehead, Nik; Dacey, Michael

doi:10.3233/shti210832

Cited by 2 publications

(5 citation statements)

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“…At a high level, there is broad compatibility with EOSC-IF. It is implied from previous work 25 that the adherence to FAIR principles has been demonstrated through FOXS stack.…”

Section: Resultsmentioning

confidence: 99%

“…At a high level, there is broad compatibility with EOSC-IF. It is implied from previous work 25 that the adherence to FAIR principles has been demonstrated through FOXS stack. Despite EOSC-IF being a draft framework, clear synergy with FOXS stack provides a pathway to logical implementation for health domain use cases.…”

Section: Resultsmentioning

confidence: 99%

“…Combining the maximal approach for clinical models and persistence in openEHR with an industry-standard syntax for messaging in HL7 FHIR, health care institutions are afforded a seamlessly interoperable baseline for health data. As previously stated, 25 “ the assembly attempts to enable FAIR-ness by way of facilitating data access through one or more routes within a FOXS platform.” This should in turn support researchers by not needing to extend current standards such as FHIR to facilitate their specific objectives.…”

Section: Discussionmentioning

confidence: 99%

“…to the principles of FAIR data access 25 . This paper outlines an extension to previous work in applying FOXS to supporting the technical architecture for semantic interoperability as outlined in the EOSC Interoperability Framework 4 (EOSC-IF).…”

Section: Initial Exploration In This Area Looked At the Broad Feasibi...mentioning

confidence: 99%

“…Initial exploration in this area looked at the broad feasibility of aligning FOXS components to the principles of FAIR data access. 25 This article outlines an extension to previous work in applying FOXS to supporting the technical architecture for semantic interoperability as outlined in the EOSC-IF 4 . The objective is to determine if logical FOXS components map to categorized elements of the EOSC-IF Semantic View (SV), representing a reference architecture for semantic interoperability.…”

Section: Objectivesmentioning

confidence: 99%

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Aligning Semantic Interoperability Frameworks with the FOXS Stack for FAIR Health Data

Meredith¹,

Whitehead

Dacey

2022

Methods Inf Med

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Background: FAIR Guiding Principles present a synergy with the use cases for digital health records, in that clinical data needs to be found, accessible within a range of environments, data must interoperate between systems and subsequently reused. The use of HL7 FHIR, openEHR, IHE XDS and SNOMED CT (FOXS) together represent a specification to create an open digital health platform for modern healthcare applications. Objectives: To describe where logical FOXS components align to the European Open Science Cloud Interoperability Framework (EOSC-IF) reference architecture for semantic interoperability. This should provide a means of defining if FOXS aligns to FAIR principles and establish the data models and structures that support longitudinal care records as being fit to underpin scientific research. Methods: The EOSC-IF Semantic View is a representation of semantic interoperability where meaning is preserved between systems and users. This was analysed and cross referenced with FOXS architectural components, mapping concepts and objects that describe content such as catalogues and semantic artefacts. Results: Majority of conceptual Semantic View components were featured within FOXS architecture. Semantic Business Objects are composed of a range of elements such as openEHR archetypes and templates, FHIR resources and profiles, SNOMED CT concepts and XDS document identifiers. Semantic Functional Content comprises of catalogues of metadata were also supported by openEHR and FHIR tools. Conclusions: Despite some elements of EOSC-IF being vague (e.g., FAIR Digital Object), there was a broad conformance to the framework concepts and the components of a FOXS platform. This work supports a health domain specific view of semantic interoperability, and how this may be achieved to support FAIR data for health research via a standardised framework.

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“…At a high level, there is broad compatibility with EOSC-IF. It is implied from previous work 25 that the adherence to FAIR principles has been demonstrated through FOXS stack.…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Initial Exploration In This Area Looked At the Broad Feasibi...mentioning

confidence: 99%

Section: Objectivesmentioning

confidence: 99%

See 3 more Smart Citations