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VODAN BR - A Federated Architecture for Clinical Data

Authors: Feijoó, Matheus Pedra Puime; Vânia Jesus De Araujo Soares Borges; Campos, Maria Luiza Machado; De Oliveira Veiga, Viviane Santos; Moreira, Joao Luiz Rebelo;

VODAN BR - A Federated Architecture for Clinical Data

Abstract

The VODAN Brazil (VODAN BR) project aims at establishing, at the national level, the VODAN federated data infrastructure to support the capture and use of data, not only during this Covid-19 pandemic but also on future disease outbreaks. This poster describes the first steps for collecting and treating anonymized patients data from Covid-19 cases, following the WHO standard form, initially from two public hospitals. VODAN BR is establishing an IT architecture to manage these data, addressing practical challenges from the hospital partners, such as collecting data from the current hospital information systems and integrating these data with semantic-oriented CRF systems that are based on the WHO semantic model developed by VODAN. This flexible architecture addresses these challenges through: (1) an extraction and collection strategy for the heterogeneous systems; (2) a staging relational database adherent to the WHO semantic model; (3) a workflow-based support for the FAIRification process through the ETL4LOD tool; (4) data repositories enriched with graph database technologies and FAIR Data Points.

Keywords

VODAN, FAIR data, Corona Virus, COVID-19, Virus Outbreak Data Network, Virus Outbreak Data Network Brazil, VODANBR, CODATA, FAIR

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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