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Data protection and fairness by design

Building a health data pipeline is an opportunity not only to review the efficiency of data flows and organisational processes but also to guarantee that the resulting data system incorporates data protection and fairness principles by design. This session will cover some key aspects of data protect...

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Detalles Bibliográficos
Autor principal: Rachadell, J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593508/
http://dx.doi.org/10.1093/eurpub/ckac129.083
Descripción
Sumario:Building a health data pipeline is an opportunity not only to review the efficiency of data flows and organisational processes but also to guarantee that the resulting data system incorporates data protection and fairness principles by design. This session will cover some key aspects of data protection and the principles of data fairness and ethics: Transparency, simplicity and fairness The importance of a diverse team with diverse expertise Keeping the business objectives in mind and purpose limitation Compliance with data protection directives (GDPR)