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Cloud service checklist for academic communities and customization for genome medical research

In this paper, we present a cloud service checklist designed to help IT administrators or researchers in academic organizations select the most suitable cloud services. This checklist, which comprises items that we believe IT administrators or researchers in academic organizations should consider wh...

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Detalles Bibliográficos
Autores principales: Kobayashi, Kumiko, Yoshida, Hiroshi, Tanjo, Tomoya, Aida, Kento
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574824/
https://www.ncbi.nlm.nih.gov/pubmed/36253343
http://dx.doi.org/10.1038/s41439-022-00214-9
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author Kobayashi, Kumiko
Yoshida, Hiroshi
Tanjo, Tomoya
Aida, Kento
author_facet Kobayashi, Kumiko
Yoshida, Hiroshi
Tanjo, Tomoya
Aida, Kento
author_sort Kobayashi, Kumiko
collection PubMed
description In this paper, we present a cloud service checklist designed to help IT administrators or researchers in academic organizations select the most suitable cloud services. This checklist, which comprises items that we believe IT administrators or researchers in academic organizations should consider when they adopt cloud services, comprehensively covers the issues related to a variety of cloud services, including security, functionality, performance, and law. In response to the increasing demands for storage and computing resources in genome medical science communities, various guidelines for using resources operated by external organizations, such as cloud services, have been published by different academic funding agencies and the Japanese government. However, it is sometimes difficult to identify the checklist items that satisfy the genome medical science community’s guidelines, and some of these requirements are not included in the existing checklists. This issue provided our motivation for creating a cloud service checklist customized for genome medical research communities. The resulting customized checklist is designed to help researchers easily find information about the cloud services that satisfy the guidelines in genome medical science communities. Additionally, we explore whether many cloud service providers satisfy the requirements or checklist items in the cloud service checklist for genome medical research by evaluating their survey responses.
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spelling pubmed-95748242022-10-17 Cloud service checklist for academic communities and customization for genome medical research Kobayashi, Kumiko Yoshida, Hiroshi Tanjo, Tomoya Aida, Kento Hum Genome Var Review Article In this paper, we present a cloud service checklist designed to help IT administrators or researchers in academic organizations select the most suitable cloud services. This checklist, which comprises items that we believe IT administrators or researchers in academic organizations should consider when they adopt cloud services, comprehensively covers the issues related to a variety of cloud services, including security, functionality, performance, and law. In response to the increasing demands for storage and computing resources in genome medical science communities, various guidelines for using resources operated by external organizations, such as cloud services, have been published by different academic funding agencies and the Japanese government. However, it is sometimes difficult to identify the checklist items that satisfy the genome medical science community’s guidelines, and some of these requirements are not included in the existing checklists. This issue provided our motivation for creating a cloud service checklist customized for genome medical research communities. The resulting customized checklist is designed to help researchers easily find information about the cloud services that satisfy the guidelines in genome medical science communities. Additionally, we explore whether many cloud service providers satisfy the requirements or checklist items in the cloud service checklist for genome medical research by evaluating their survey responses. Nature Publishing Group UK 2022-10-17 /pmc/articles/PMC9574824/ /pubmed/36253343 http://dx.doi.org/10.1038/s41439-022-00214-9 Text en © The Author(s) 2022 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 Review Article
Kobayashi, Kumiko
Yoshida, Hiroshi
Tanjo, Tomoya
Aida, Kento
Cloud service checklist for academic communities and customization for genome medical research
title Cloud service checklist for academic communities and customization for genome medical research
title_full Cloud service checklist for academic communities and customization for genome medical research
title_fullStr Cloud service checklist for academic communities and customization for genome medical research
title_full_unstemmed Cloud service checklist for academic communities and customization for genome medical research
title_short Cloud service checklist for academic communities and customization for genome medical research
title_sort cloud service checklist for academic communities and customization for genome medical research
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574824/
https://www.ncbi.nlm.nih.gov/pubmed/36253343
http://dx.doi.org/10.1038/s41439-022-00214-9
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