Authors:
Vânia Borges
;
Natalia Queiroz de Oliveira
;
Henrique F. Rodrigues
;
Maria Luiza Machado Campos
and
Giseli Rabello Lopes
Affiliation:
Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
Keyword(s):
VODAN Brazil, FAIRification, Platform, ETL4FAIR, COVID-19 Clinical Research.
Abstract:
The COVID-19 pandemic and the global actions to address it have highlighted the importance of clinical care data for more detailed studies of the virus and its effects. Extracting and processing such data, in terms of confidentiality issues, is a challenge. In addition, the mechanisms necessary for their publication are aimed at reuse in research to better understand the effects of this pandemic or other viral outbreaks. This paper describes a modular, scalable, distributed, and flexible platform, based on a generic architecture, to promote the publication of FAIR clinical research data. This platform collects heterogeneous data from Electronic Health Records, transforms these data into interconnected and interoperable (meta)data that are processable by software agents, and publishes them through technological solutions such as repositories and FAIR Data Point.