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: Keane, Thomas M., O’Donovan, Claire, Vizcaíno, Juan Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486822/
https://www.ncbi.nlm.nih.gov/pubmed/34599180
http://dx.doi.org/10.1038/s41467-021-26110-4
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author Keane, Thomas M.
O’Donovan, Claire
Vizcaíno, Juan Antonio
author_facet Keane, Thomas M.
O’Donovan, Claire
Vizcaíno, Juan Antonio
author_sort Keane, Thomas M.
collection PubMed
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.
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spelling pubmed-84868222021-10-07 The growing need for controlled data access models in clinical proteomics and metabolomics Keane, Thomas M. O’Donovan, Claire Vizcaíno, Juan Antonio Nat Commun Comment 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. Nature Publishing Group UK 2021-10-01 /pmc/articles/PMC8486822/ /pubmed/34599180 http://dx.doi.org/10.1038/s41467-021-26110-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Comment
Keane, Thomas M.
O’Donovan, Claire
Vizcaíno, Juan Antonio
The growing need for controlled data access models in clinical proteomics and metabolomics
title 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_short 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
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486822/
https://www.ncbi.nlm.nih.gov/pubmed/34599180
http://dx.doi.org/10.1038/s41467-021-26110-4
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