Computational tools for genomic data de-identification: facilitating data protection law compliance

In this opinion piece, we discuss why computational tools to limit the identifiability of genomic data are a promising avenue for privacy-preservation and legal compliance. Even where these technologies do not eliminate all residual risk of individual identification, the law may still consider such...

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Detalles Bibliográficos
Autores principales:	Alexander Bernier, Hanshi Liu, Bartha Maria Knoppers
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/042e5e2b86a747b5a4ba90e724c1b108
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spelling	oai:doaj.org-article:042e5e2b86a747b5a4ba90e724c1b1082021-12-05T12:21:50ZComputational tools for genomic data de-identification: facilitating data protection law compliance10.1038/s41467-021-27219-22041-1723https://doaj.org/article/042e5e2b86a747b5a4ba90e724c1b1082021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-27219-2https://doaj.org/toc/2041-1723In this opinion piece, we discuss why computational tools to limit the identifiability of genomic data are a promising avenue for privacy-preservation and legal compliance. Even where these technologies do not eliminate all residual risk of individual identification, the law may still consider such data anonymised.Alexander BernierHanshi LiuBartha Maria KnoppersNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-3 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Alexander Bernier Hanshi Liu Bartha Maria Knoppers Computational tools for genomic data de-identification: facilitating data protection law compliance
description	In this opinion piece, we discuss why computational tools to limit the identifiability of genomic data are a promising avenue for privacy-preservation and legal compliance. Even where these technologies do not eliminate all residual risk of individual identification, the law may still consider such data anonymised.
format	article
author	Alexander Bernier Hanshi Liu Bartha Maria Knoppers
author_facet	Alexander Bernier Hanshi Liu Bartha Maria Knoppers
author_sort	Alexander Bernier
title	Computational tools for genomic data de-identification: facilitating data protection law compliance
title_short	Computational tools for genomic data de-identification: facilitating data protection law compliance
title_full	Computational tools for genomic data de-identification: facilitating data protection law compliance
title_fullStr	Computational tools for genomic data de-identification: facilitating data protection law compliance
title_full_unstemmed	Computational tools for genomic data de-identification: facilitating data protection law compliance
title_sort	computational tools for genomic data de-identification: facilitating data protection law compliance
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/042e5e2b86a747b5a4ba90e724c1b108
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Computational tools for genomic data de-identification: facilitating data protection law compliance

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