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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
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author Rachadell, J
author_facet Rachadell, J
author_sort Rachadell, J
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description 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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spelling pubmed-95935082022-11-22 Data protection and fairness by design Rachadell, J Eur J Public Health Parallel Programme 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) Oxford University Press 2022-10-25 /pmc/articles/PMC9593508/ http://dx.doi.org/10.1093/eurpub/ckac129.083 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Parallel Programme
Rachadell, J
Data protection and fairness by design
title Data protection and fairness by design
title_full Data protection and fairness by design
title_fullStr Data protection and fairness by design
title_full_unstemmed Data protection and fairness by design
title_short Data protection and fairness by design
title_sort data protection and fairness by design
topic Parallel Programme
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593508/
http://dx.doi.org/10.1093/eurpub/ckac129.083
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