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Privacy-Preserving Linkage of Distributed Pseudonymised Datasets in a Virtual European Rare Disease Platform.
Hayn, Dieter; Sandner, Emanuel; Vengadeswaran, Abishaa; Tãtaru, Elena-Alexandra; Wilkinson, Mark; Hanauer, Marc; Kreiner, Karl; Schreier, Guenter.
Afiliação
  • Hayn D; AIT Austrian Institute of Technology GmbH, Graz, Austria.
  • Sandner E; AIT Austrian Institute of Technology GmbH, Graz, Austria.
  • Vengadeswaran A; Goethe University Frankfurt, University Hospital, Institute of Medical Informatics (IMI), Frankfurt am Main, Germany.
  • Tãtaru EA; French National Institute of Health and Medical Research (INSERM), Paris, France.
  • 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 (IN
  • Hanauer M; French National Institute of Health and Medical Research (INSERM), Paris, France.
  • Kreiner K; AIT Austrian Institute of Technology GmbH, Graz, Austria.
  • Schreier G; AIT Austrian Institute of Technology GmbH, Graz, Austria.
Stud Health Technol Inform ; 316: 1442-1446, 2024 Aug 22.
Article em En | MEDLINE | ID: mdl-39176652
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registro Médico Coordenado / Doenças Raras Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registro Médico Coordenado / Doenças Raras Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article