Evidence map›Paper›PMID 36899064›Full record

ArticleScientific data2023

FAIRification of health-related data using semantic web technologies in the Swiss Personalized Health Network.

Vasundra Touré, Philip Krauss, Kristin Gnodtke, Jascha Buchhorn, Deepak Unni, Petar Horki, Jean Louis Raisaro, Katie Kalt, Daniel Teixeira, Katrin Crameri and 1 more

Full text read
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
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  4. Review
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  7. Article
  8. Application of qualifying variants for genomic analysis.Bioinformatics (Oxford, England) · 2026
    Article
  9. Article
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  12. Article
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  18. Journal of integrative bioinformatics · 2024
    Article
  19. Article
  20. [FAIR health data in the national and international data space].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Vasundra TouréPersonalized Health Informatics Group, SIB Swiss Institute of Bioinformatics, 4051, Basel, Switzerland.
Philip KraussTrivadis - Part of Accenture, 4051, Basel, Switzerland.
Kristin GnodtkePersonalized Health Informatics Group, SIB Swiss Institute of Bioinformatics, 4051, Basel, Switzerland.
Jascha BuchhornTrivadis - Part of Accenture, 4051, Basel, Switzerland.
Deepak UnniPersonalized Health Informatics Group, SIB Swiss Institute of Bioinformatics, 4051, Basel, Switzerland.
Petar HorkiPersonalized Health Informatics Group, SIB Swiss Institute of Bioinformatics, 4051, Basel, Switzerland.
Jean Louis RaisaroHealth Informatics and Data Privacy Group, Biomedical Data Science Center, 1010 Lausanne University Hospital, Lausanne, Switzerland.ORCID 0000-0003-2052-6133
Katie KaltClinical Data Platform Research, Directorate of Research and Education, Zurich University Hospital, 8091, Zurich, Switzerland.
Daniel TeixeiraDSI - Data Group, Geneva University Hospital, 1205, Geneva, Switzerland.
Katrin CrameriPersonalized Health Informatics Group, SIB Swiss Institute of Bioinformatics, 4051, Basel, Switzerland.
Sabine ÖsterlePersonalized Health Informatics Group, SIB Swiss Institute of Bioinformatics, 4051, Basel, Switzerland. sabine.oesterle@sib.swiss.ORCID 0000-0003-3248-7899

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Swiss Personalized Health Network (SPHN) is a government-funded initiative developing federated infrastructures for a responsible and efficient secondary use of health data for research purposes in compliance with the FAIR principles (Findable, Accessible, Interoperable and Reusable). We built a common standard infrastructure with a fit-for-purpose strategy to bring together health-related data and ease the work of both data providers to supply data in a standard manner and researchers by enhancing the quality of the collected data. As a result, the SPHN Resource Description Framework (RDF) schema was implemented together with a data ecosystem that encompasses data integration, validation tools, analysis helpers, training and documentation for representing health metadata and data in a consistent manner and reaching nationwide data interoperability goals. Data providers can now efficiently deliver several types of health data in a standardised and interoperable way while a high degree of flexibility is granted for the various demands of individual research projects. Researchers in Switzerland have access to FAIR health data for further use in RDF triplestores.

Indexed as

Health Services ResearchSemantic WebData CollectionMetadataSwitzerland

Identifiers

PMID36899064
PMCPMC10006404

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.