Privacy-Preserving Linkage of Distributed Pseudonymised Datasets in a Virtual European Rare Disease Platform.

European health data space (EHDS) Rare diseases privacy-preserving record linkage (PPRL) research infrastructure secondary use

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
22 Aug 2024
Historique:
medline: 23 8 2024
pubmed: 23 8 2024
entrez: 23 8 2024
Statut: ppublish

Résumé

Secondary use of data for research purposes is especially important in rare diseases (RD), since, per definition, data are sparse. The European Joint Programme on Rare Diseases (EJP RD) aims at developing an RD infrastructure which supports the secondary use of data. Significant amounts of RD data are a) distributed and b) available only in pseudonymised format. Privacy-Preserving Record Linkage (PPRL) concerns the linking of such distributed datasets without disclosing the participant's identities. We present a concept for linking a PPRL Service to the EJP RD Virtual Platform (VP). Level 1 (resource discovery) connection is provided by running an FDP within the PPRL Service. On Level 2 (data discoverability), the PPRL Service can represent both, an individual and a catalog endpoint. Our solution can count patients in PPRL-supporting resources, count duplicates only once, and count only patients registered to multiple resources. Currently, we are preparing the deployment within the EJP RD VP.

Identifiants

pubmed: 39176652
pii: SHTI240683
doi: 10.3233/SHTI240683
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1442-1446

Auteurs

Dieter Hayn (D)

AIT Austrian Institute of Technology GmbH, Graz, Austria.

Emanuel Sandner (E)

AIT Austrian Institute of Technology GmbH, Graz, Austria.

Abishaa Vengadeswaran (A)

Goethe University Frankfurt, University Hospital, Institute of Medical Informatics (IMI), Frankfurt am Main, Germany.

Elena-Alexandra Tãtaru (EA)

French National Institute of Health and Medical Research (INSERM), Paris, France.

Mark Wilkinson (M)

Departamento de Biotecnología-Biología Vegetal, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Centro de Biotecnología y Genómica de Plantas UPM-INIA, Universidad Politécnica de Madrid (UPM), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA/CSIC), Madrid, Spain.

Marc Hanauer (M)

French National Institute of Health and Medical Research (INSERM), Paris, France.

Karl Kreiner (K)

AIT Austrian Institute of Technology GmbH, Graz, Austria.

Guenter Schreier (G)

AIT Austrian Institute of Technology GmbH, Graz, Austria.

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Classifications MeSH