Cargando…

Ten lessons for data sharing with a data commons

A data commons is a cloud-based data platform with a governance structure that allows a community to manage, analyze and share its data. Data commons provide a research community with the ability to manage and analyze large datasets using the elastic scalability provided by cloud computing and to sh...

Descripción completa

Detalles Bibliográficos
Autor principal: Grossman, Robert L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988927/
https://www.ncbi.nlm.nih.gov/pubmed/36878917
http://dx.doi.org/10.1038/s41597-023-02029-x
_version_ 1784901673541435392
author Grossman, Robert L.
author_facet Grossman, Robert L.
author_sort Grossman, Robert L.
collection PubMed
description A data commons is a cloud-based data platform with a governance structure that allows a community to manage, analyze and share its data. Data commons provide a research community with the ability to manage and analyze large datasets using the elastic scalability provided by cloud computing and to share data securely and compliantly, and, in this way, accelerate the pace of research. Over the past decade, a number of data commons have been developed and we discuss some of the lessons learned from this effort.
format Online
Article
Text
id pubmed-9988927
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-99889272023-03-08 Ten lessons for data sharing with a data commons Grossman, Robert L. Sci Data Comment A data commons is a cloud-based data platform with a governance structure that allows a community to manage, analyze and share its data. Data commons provide a research community with the ability to manage and analyze large datasets using the elastic scalability provided by cloud computing and to share data securely and compliantly, and, in this way, accelerate the pace of research. Over the past decade, a number of data commons have been developed and we discuss some of the lessons learned from this effort. Nature Publishing Group UK 2023-03-06 /pmc/articles/PMC9988927/ /pubmed/36878917 http://dx.doi.org/10.1038/s41597-023-02029-x Text en © The Author(s) 2023 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
Grossman, Robert L.
Ten lessons for data sharing with a data commons
title Ten lessons for data sharing with a data commons
title_full Ten lessons for data sharing with a data commons
title_fullStr Ten lessons for data sharing with a data commons
title_full_unstemmed Ten lessons for data sharing with a data commons
title_short Ten lessons for data sharing with a data commons
title_sort ten lessons for data sharing with a data commons
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988927/
https://www.ncbi.nlm.nih.gov/pubmed/36878917
http://dx.doi.org/10.1038/s41597-023-02029-x
work_keys_str_mv AT grossmanrobertl tenlessonsfordatasharingwithadatacommons