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High-Level Architecture For Sensitive Science Data

FAIRness Era was raised from the open science movement. People, processes, and technology have been engaged to support the balance between openness & collaboration and the imperative to protect sensitive data and maintain trust among researchers and the public. This study performs a literature review of existing research data management platforms and proposes a high-level architecture for sensitive science data.

Dauto Jeichande
IT
Portugal

João Oliveira
IT
Portugal