Mettertron – Bridging Metadata Repositories and Terminology Servers

Jan Schladetzky; Ann Kristin Kock-Schoppenhauer; Cora Drenkhahn; Josef Ingenerf; Joshua Wiedekopf

doi:10.3233/SHTI230721

Mettertron – Bridging Metadata Repositories and Terminology Servers

Jan Schladetzky^*, Ann Kristin Kock-Schoppenhauer, Cora Drenkhahn, Josef Ingenerf, Joshua Wiedekopf

^*Corresponding author for this work

2 Citations (Scopus)

Abstract

To provide clinical data in distributed research architectures, a fundamental challenge involves defining and distributing suitable metadata within Metadata Repositories. Especially for structured data, data elements need to be bound against suitable terminologies; otherwise, other systems will only be able to interpret the data with complex and error-prone manual involvement. As current Metadata Repository implementations lack support for querying externally defined terminologies in FHIR terminology servers, we propose an intermediate solution that uses appropriate annotations on metadata elements to allow run-time Terminology Services mediated queries of that metadata. This allows a very clear separation of concerns between the two related systems, greatly simplifying terminological maintenance. The system performed well in a prototypical deployment.

Original language	English
Title of host publication	Volume 307: German Medical Data Sciences 2023 – Science. Close to People.
Publication date	12.09.2023
DOIs	https://doi.org/10.3233/SHTI230721
Publication status	Published - 12.09.2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

DFG Research Classification Scheme

2.22-07 Medical Informatics and Medical Bioinformatics

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10.3233/SHTI230721Licence: CC BY-NC

Cite this

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title = "Mettertron – Bridging Metadata Repositories and Terminology Servers",

abstract = "To provide clinical data in distributed research architectures, a fundamental challenge involves defining and distributing suitable metadata within Metadata Repositories. Especially for structured data, data elements need to be bound against suitable terminologies; otherwise, other systems will only be able to interpret the data with complex and error-prone manual involvement. As current Metadata Repository implementations lack support for querying externally defined terminologies in FHIR terminology servers, we propose an intermediate solution that uses appropriate annotations on metadata elements to allow run-time Terminology Services mediated queries of that metadata. This allows a very clear separation of concerns between the two related systems, greatly simplifying terminological maintenance. The system performed well in a prototypical deployment.",

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AU - Schladetzky, Jan

AU - Kock-Schoppenhauer, Ann Kristin

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AU - Ingenerf, Josef

AU - Wiedekopf, Joshua

PY - 2023/9/12

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N2 - To provide clinical data in distributed research architectures, a fundamental challenge involves defining and distributing suitable metadata within Metadata Repositories. Especially for structured data, data elements need to be bound against suitable terminologies; otherwise, other systems will only be able to interpret the data with complex and error-prone manual involvement. As current Metadata Repository implementations lack support for querying externally defined terminologies in FHIR terminology servers, we propose an intermediate solution that uses appropriate annotations on metadata elements to allow run-time Terminology Services mediated queries of that metadata. This allows a very clear separation of concerns between the two related systems, greatly simplifying terminological maintenance. The system performed well in a prototypical deployment.

AB - To provide clinical data in distributed research architectures, a fundamental challenge involves defining and distributing suitable metadata within Metadata Repositories. Especially for structured data, data elements need to be bound against suitable terminologies; otherwise, other systems will only be able to interpret the data with complex and error-prone manual involvement. As current Metadata Repository implementations lack support for querying externally defined terminologies in FHIR terminology servers, we propose an intermediate solution that uses appropriate annotations on metadata elements to allow run-time Terminology Services mediated queries of that metadata. This allows a very clear separation of concerns between the two related systems, greatly simplifying terminological maintenance. The system performed well in a prototypical deployment.

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DO - 10.3233/SHTI230721

M3 - Conference contribution

BT - Volume 307: German Medical Data Sciences 2023 – Science. Close to People.

ER -

Mettertron – Bridging Metadata Repositories and Terminology Servers

Abstract

UN SDGs

DFG Research Classification Scheme

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