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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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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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 |
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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 |