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

Authors :
Chih Chuan Shih
Jieqi Chen
Ai Shan Lee
Nicolas Bertin
Maxime Hebrard
Chiea Chuen Khor
Zheng Li
Joanna Hui Juan Tan
Wee Yang Meah
Su Qin Peh
Shi Qi Mok
Kar Seng Sim
Jianjun Liu
Ling Wang
Eleanor Wong
Jingmei Li
Aung Tin
Ching-Yu Cheng
Chew-Kiat Heng
Jian-Min Yuan
Woon-Puay Koh
Seang Mei Saw
Yechiel Friedlander
Xueling Sim
Jin Fang Chai
Yap Seng Chong
Sonia Davila
Liuh Ling Goh
Eng Sing Lee
Tien Yin Wong
Neerja Karnani
Khai Pang Leong
Khung Keong Yeo
John C. Chambers
Su Chi Lim
Rick Siow Mong Goh
Patrick Tan
Rajkumar Dorajoo
Source :
iScience, Vol 26, Iss 4, Pp 106546- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Summary: 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.

Details

Language :
English
ISSN :
25890042
Volume :
26
Issue :
4
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.3a05ca171fb2408194c45da5d91f3fb5
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2023.106546