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A five-safes approach to a secure and scalable genomics data repository.

Authors :
Shih CC
Chen J
Lee AS
Bertin N
Hebrard M
Khor CC
Li Z
Juan Tan JH
Meah WY
Peh SQ
Mok SQ
Sim KS
Liu J
Wang L
Wong E
Li J
Tin A
Cheng CY
Heng CK
Yuan JM
Koh WP
Saw SM
Friedlander Y
Sim X
Chai JF
Chong YS
Davila S
Goh LL
Lee ES
Wong TY
Karnani N
Leong KP
Yeo KK
Chambers JC
Lim SC
Goh RSM
Tan P
Dorajoo R
Source :
IScience [iScience] 2023 Mar 31; Vol. 26 (4), pp. 106546. Date of Electronic Publication: 2023 Mar 31 (Print Publication: 2023).
Publication Year :
2023

Abstract

Genomic researchers increasingly utilize commercial cloud service providers (CSPs) to manage data and analytics needs. CSPs allow researchers to grow Information Technology (IT) infrastructure on demand to overcome bottlenecks when combining large datasets. However, without adequate security controls, the risk of unauthorized access may be higher for data stored on the cloud. Additionally, regulators are mandating data access patterns and specific security protocols for the storage and use of genomic data. While CSP provides tools for security and regulatory compliance, building the necessary controls required for cloud solutions is not trivial. Research Assets Provisioning and Tracking Online Repository (RAPTOR) by the Genome Institute of Singapore is a cloud-native genomics data repository and analytics platform that implements a "five-safes" framework to provide security and governance controls to data contributors and users, leveraging CSP for sharing and analysis of genomic datasets without the risk of security breaches or running afoul of regulations.<br />Competing Interests: The authors declare no competing interests.<br /> (© 2023 The Author(s).)

Details

Language :
English
ISSN :
2589-0042
Volume :
26
Issue :
4
Database :
MEDLINE
Journal :
IScience
Publication Type :
Academic Journal
Accession number :
37123247
Full Text :
https://doi.org/10.1016/j.isci.2023.106546