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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Autores principales:	Thomas M. Keane, Claire O’Donovan, Juan Antonio Vizcaíno
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/6574456f34254a6780fd0dd96538a5f2
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spelling	oai:doaj.org-article:6574456f34254a6780fd0dd96538a5f22021-12-02T17:37:36ZThe growing need for controlled data access models in clinical proteomics and metabolomics10.1038/s41467-021-26110-42041-1723https://doaj.org/article/6574456f34254a6780fd0dd96538a5f22021-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26110-4https://doaj.org/toc/2041-1723More 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.Thomas M. KeaneClaire O’DonovanJuan Antonio VizcaínoNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-4 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Thomas M. Keane Claire O’Donovan Juan Antonio Vizcaíno The growing need for controlled data access models in clinical proteomics and metabolomics
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.
format	article
author	Thomas M. Keane Claire O’Donovan Juan Antonio Vizcaíno
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 Portfolio
publishDate	2021
url	https://doaj.org/article/6574456f34254a6780fd0dd96538a5f2
work_keys_str_mv	AT thomasmkeane thegrowingneedforcontrolleddataaccessmodelsinclinicalproteomicsandmetabolomics AT claireodonovan thegrowingneedforcontrolleddataaccessmodelsinclinicalproteomicsandmetabolomics AT juanantoniovizcaino thegrowingneedforcontrolleddataaccessmodelsinclinicalproteomicsandmetabolomics AT thomasmkeane growingneedforcontrolleddataaccessmodelsinclinicalproteomicsandmetabolomics AT claireodonovan growingneedforcontrolleddataaccessmodelsinclinicalproteomicsandmetabolomics AT juanantoniovizcaino growingneedforcontrolleddataaccessmodelsinclinicalproteomicsandmetabolomics
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The growing need for controlled data access models in clinical proteomics and metabolomics

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