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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...
Autor principal: | |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593508/ http://dx.doi.org/10.1093/eurpub/ckac129.083 |
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) |
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