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The Swiss Personalized Health Network Metadata Catalog: Platform for Health Data Discovery and Exploration Based on

Harald Witte¹, Deepak Raveendran Unni¹, Philip Krauss²

¹Swiss Personalized Health Network, SIB Swiss Institute of Bioinformatics, Elisabethenstrasse 43, Basel, 4051, Switzerland, 41 765395411.

JMIR Medical Informatics

|July 14, 2026

Summary

The Swiss Personalized Health Network (SPHN) Metadata Catalog enhances health data discovery and reuse. It provides rich metadata and interactive tools, ensuring compliance with FAIR principles for sensitive health information.

Keywords:

DCAT FAIR Data Point HealthDCAT SPHN W3C semantic standards data visualization metadata catalog schema visualization semantic web

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Area of Science:

Health Informatics
Data Science
Bioinformatics

Background:

The Swiss Personalized Health Network (SPHN) aims to improve health data interoperability and sharing for research in Switzerland, adhering to FAIR principles.
Sensitive health data necessitates robust metadata for informed access and reuse decisions.
Effective metadata is crucial for researchers to assess dataset suitability and navigate regulatory requirements.

Purpose of the Study:

To describe the design and functionality of the SPHN Metadata Catalog.
To highlight its role in facilitating health-related dataset discovery, exploration, and reuse assessment.

Main Methods:

The SPHN Metadata Catalog is a FAIR Data Point-compliant infrastructure utilizing the HealthDCAT Application Profile for standardized health data cataloging.
It provides rich, structured metadata in human and machine-readable formats, including extensive dataset-level statistics via the Vocabulary of Interlinked Datasets.
An interactive visualization component allows exploration of graph-based schemas, datasets, entities, attributes, and relationships.

Main Results:

Users can explore semantic structures and dataset statistics before requesting access.
Researchers can examine data structures, relationships, attributes, and element abundances to assess feasibility.
This supports informed evaluations of dataset suitability and reuse conditions.

Conclusions:

The SPHN Metadata Catalog enhances dataset discoverability and FAIR-compliant reuse through HealthDCAT descriptions, statistical metadata, and interactive exploration.
It serves as a foundational component of Switzerland's health data research infrastructure.
It supports future interoperability initiatives and alignment with frameworks like the European Health Data Space.