The growing need for controlled data access models in clinical proteomics and metabolomics

More and more clinical studies include potentially sensitive human proteomics or metabolomics datasets, but bioinformatics resources for managing the access to these data are not yet available. This commentary discusses current best practices and future perspectives for the responsible handling of c...

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Main Authors:	Thomas M. Keane, Claire O’Donovan, Juan Antonio Vizcaíno
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-10-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-021-26110-4

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spelling	doaj-6574456f34254a6780fd0dd96538a5f22021-10-03T11:50:55ZengNature Publishing GroupNature Communications2041-17232021-10-011211410.1038/s41467-021-26110-4The growing need for controlled data access models in clinical proteomics and metabolomicsThomas M. Keane0Claire O’Donovan1Juan Antonio Vizcaíno2European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome CampusEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome CampusEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome CampusMore and more clinical studies include potentially sensitive human proteomics or metabolomics datasets, but bioinformatics resources for managing the access to these data are not yet available. This commentary discusses current best practices and future perspectives for the responsible handling of clinical proteomics and metabolomics data.https://doi.org/10.1038/s41467-021-26110-4
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Thomas M. Keane Claire O’Donovan Juan Antonio Vizcaíno
spellingShingle	Thomas M. Keane Claire O’Donovan Juan Antonio Vizcaíno The growing need for controlled data access models in clinical proteomics and metabolomics Nature Communications
author_facet	Thomas M. Keane Claire O’Donovan Juan Antonio Vizcaíno
author_sort	Thomas M. Keane
title	The growing need for controlled data access models in clinical proteomics and metabolomics
title_short	The growing need for controlled data access models in clinical proteomics and metabolomics
title_full	The growing need for controlled data access models in clinical proteomics and metabolomics
title_fullStr	The growing need for controlled data access models in clinical proteomics and metabolomics
title_full_unstemmed	The growing need for controlled data access models in clinical proteomics and metabolomics
title_sort	growing need for controlled data access models in clinical proteomics and metabolomics
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2021-10-01
description	More and more clinical studies include potentially sensitive human proteomics or metabolomics datasets, but bioinformatics resources for managing the access to these data are not yet available. This commentary discusses current best practices and future perspectives for the responsible handling of clinical proteomics and metabolomics data.
url	https://doi.org/10.1038/s41467-021-26110-4
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The growing need for controlled data access models in clinical proteomics and metabolomics

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