Abstract

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.

Details

Title
The growing need for controlled data access models in clinical proteomics and metabolomics
Author
Keane, Thomas M 1   VIAFID ORCID Logo  ; O’Donovan Claire 1 ; Vizcaíno, Juan Antonio 1   VIAFID ORCID Logo 

1  Wellcome Trust Genome Campus, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK (GRID:grid.52788.30) (ISNI:0000 0004 0427 7672) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41467-021-26110-4
ProQuest document ID
2578273339
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.