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Applying the FAIR Data Principles to the Registry of Vascular Anomalies (VASCA).
Dos Santos Vieira, Bruna; Groenen, Karlijn; 't Hoen, P A C; Jacobsen, Annika; Roos, Marco; Kaliyaperumal, Rajaram; Kersloot, Martijn; Cornet, Ronald; Schultze Kool, Leo.
Afiliação
  • Dos Santos Vieira B; Radboud University Medical Center, Nijmegen, Netherlands.
  • Groenen K; Radboud University Medical Center, Nijmegen, Netherlands.
  • 't Hoen PAC; Radboud University Medical Center, Nijmegen, Netherlands.
  • Jacobsen A; Leiden University Medical Center, Leiden, Netherlands.
  • Roos M; Leiden University Medical Center, Leiden, Netherlands.
  • Kaliyaperumal R; Leiden University Medical Center, Leiden, Netherlands.
  • Kersloot M; Amsterdam University Medical Center, Netherlands.
  • Cornet R; Castor EDC, Amsterdam, Netherlands.
  • Schultze Kool L; Amsterdam University Medical Center, Netherlands.
Stud Health Technol Inform ; 271: 115-116, 2020 Jun 23.
Article em En | MEDLINE | ID: mdl-32578552
ABSTRACT

BACKGROUND:

Connecting currently existing, heterogeneous rare disease (RD) registries would greatly facilitate epidemiological and clinical research. To increase their interoperability, the European Union developed a set of Common Data Elements (CDEs) for RD registries.

OBJECTIVES:

To implement the CDEs and the FAIR data principles in the Registry of Vascular Anomalies (VASCA).

METHODS:

We created a semantic model for the CDE and transformed this into a Resource Description Framework (RDF) template. The electronic case report forms (eCRF) were mapped to the RDF template and published in a FAIR Data Point (FDP).

RESULTS:

The FAIR VASCA registry was successfully implemented using Castor EDC (Electronic Data Capture) software.

CONCLUSION:

FAIR technology allows researchers to query and combine data from different registries in real-time.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Sistema de Registros / Elementos de Dados Comuns Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Sistema de Registros / Elementos de Dados Comuns Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article