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

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 control...

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Main Authors: Shih, Chih Chuan, Chen, Jieqi, Lee, Ai Shan, Bertin, Nicolas, Hebrard, Maxime, Khor, Chiea Chuen, Li, Zheng, Tan, Joanna Juan Hui, Meah, Wee Yang, Peh, Su Qin, Mok, Shi Qi, Sim, Kar Seng, Liu, Jianjun, Wang, Ling, Wong, Eleanor, Li, Jingmei, Aung, Tin, Cheng, Ching-Yu, Heng, Chew-Kiat, Yuan, Jian-Min, Koh, Woon-Puay, Saw, Seang Mei, Friedlander, Yechiel, Sim, Xueling, Chai, Jin Fang, Chong, Yap Seng, Davila, Sonia, Goh, Liuh Ling, Lee, Eng Sing, Wong, Tien Yin, Karnani, Neerja, Leong, Khai Pang, Yeo, Khung Keong, Chambers, John C., Lim, Su Chi, Goh, Rick Siow Mong, Tan, Patrick, Dorajoo, Rajkumar
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/169695
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1696952023-08-06T15:38:07Z A five-safes approach to a secure and scalable genomics data repository Shih, Chih Chuan Chen, Jieqi Lee, Ai Shan Bertin, Nicolas Hebrard, Maxime Khor, Chiea Chuen Li, Zheng Tan, Joanna Juan Hui Meah, Wee Yang Peh, Su Qin Mok, Shi Qi Sim, Kar Seng Liu, Jianjun Wang, Ling Wong, Eleanor Li, Jingmei Aung, Tin Cheng, Ching-Yu Heng, Chew-Kiat Yuan, Jian-Min Koh, Woon-Puay Saw, Seang Mei Friedlander, Yechiel Sim, Xueling Chai, Jin Fang Chong, Yap Seng Davila, Sonia Goh, Liuh Ling Lee, Eng Sing Wong, Tien Yin Karnani, Neerja Leong, Khai Pang Yeo, Khung Keong Chambers, John C. Lim, Su Chi Goh, Rick Siow Mong Tan, Patrick Dorajoo, Rajkumar Lee Kong Chian School of Medicine (LKCMedicine) Science::Biological sciences::Genetics Data Encryption Data Storage Representation 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. Ministry of Health (MOH) Published version The Health for Life in Singapore (HELIOS) study at the Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore (supported by grants from a Strategic Initiative at Lee Kong Chian School of Medicine, the Singapore Ministry of Health (MOH) under its Singapore Translational Research Investigator Award (NMRC/STaR/0028/2017), and the IAF-PP: H18/01/a0/016) 2023-07-31T06:29:44Z 2023-07-31T06:29:44Z 2023 Journal Article Shih, C. C., Chen, J., Lee, A. S., Bertin, N., Hebrard, M., Khor, C. C., Li, Z., Tan, J. J. H., Meah, W. Y., Peh, S. Q., Mok, S. Q., Sim, K. S., Liu, J., Wang, L., Wong, E., Li, J., Aung, T., Cheng, C., Heng, C., ...Dorajoo, R. (2023). A five-safes approach to a secure and scalable genomics data repository. IScience, 26(4), 106546-. https://dx.doi.org/10.1016/j.isci.2023.106546 2589-0042 https://hdl.handle.net/10356/169695 10.1016/j.isci.2023.106546 37123247 2-s2.0-85152300820 4 26 106546 en NMRC/STaR/0028/2017 IAF-PP: H18/01/a0/016 iScience © 2023 The Author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Biological sciences::Genetics
Data Encryption
Data Storage Representation
spellingShingle Science::Biological sciences::Genetics
Data Encryption
Data Storage Representation
Shih, Chih Chuan
Chen, Jieqi
Lee, Ai Shan
Bertin, Nicolas
Hebrard, Maxime
Khor, Chiea Chuen
Li, Zheng
Tan, Joanna Juan Hui
Meah, Wee Yang
Peh, Su Qin
Mok, Shi Qi
Sim, Kar Seng
Liu, Jianjun
Wang, Ling
Wong, Eleanor
Li, Jingmei
Aung, Tin
Cheng, Ching-Yu
Heng, Chew-Kiat
Yuan, Jian-Min
Koh, Woon-Puay
Saw, Seang Mei
Friedlander, Yechiel
Sim, Xueling
Chai, Jin Fang
Chong, Yap Seng
Davila, Sonia
Goh, Liuh Ling
Lee, Eng Sing
Wong, Tien Yin
Karnani, Neerja
Leong, Khai Pang
Yeo, Khung Keong
Chambers, John C.
Lim, Su Chi
Goh, Rick Siow Mong
Tan, Patrick
Dorajoo, Rajkumar
A five-safes approach to a secure and scalable genomics data repository
description 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.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
Shih, Chih Chuan
Chen, Jieqi
Lee, Ai Shan
Bertin, Nicolas
Hebrard, Maxime
Khor, Chiea Chuen
Li, Zheng
Tan, Joanna Juan Hui
Meah, Wee Yang
Peh, Su Qin
Mok, Shi Qi
Sim, Kar Seng
Liu, Jianjun
Wang, Ling
Wong, Eleanor
Li, Jingmei
Aung, Tin
Cheng, Ching-Yu
Heng, Chew-Kiat
Yuan, Jian-Min
Koh, Woon-Puay
Saw, Seang Mei
Friedlander, Yechiel
Sim, Xueling
Chai, Jin Fang
Chong, Yap Seng
Davila, Sonia
Goh, Liuh Ling
Lee, Eng Sing
Wong, Tien Yin
Karnani, Neerja
Leong, Khai Pang
Yeo, Khung Keong
Chambers, John C.
Lim, Su Chi
Goh, Rick Siow Mong
Tan, Patrick
Dorajoo, Rajkumar
format Article
author Shih, Chih Chuan
Chen, Jieqi
Lee, Ai Shan
Bertin, Nicolas
Hebrard, Maxime
Khor, Chiea Chuen
Li, Zheng
Tan, Joanna Juan Hui
Meah, Wee Yang
Peh, Su Qin
Mok, Shi Qi
Sim, Kar Seng
Liu, Jianjun
Wang, Ling
Wong, Eleanor
Li, Jingmei
Aung, Tin
Cheng, Ching-Yu
Heng, Chew-Kiat
Yuan, Jian-Min
Koh, Woon-Puay
Saw, Seang Mei
Friedlander, Yechiel
Sim, Xueling
Chai, Jin Fang
Chong, Yap Seng
Davila, Sonia
Goh, Liuh Ling
Lee, Eng Sing
Wong, Tien Yin
Karnani, Neerja
Leong, Khai Pang
Yeo, Khung Keong
Chambers, John C.
Lim, Su Chi
Goh, Rick Siow Mong
Tan, Patrick
Dorajoo, Rajkumar
author_sort Shih, Chih Chuan
title A five-safes approach to a secure and scalable genomics data repository
title_short A five-safes approach to a secure and scalable genomics data repository
title_full A five-safes approach to a secure and scalable genomics data repository
title_fullStr A five-safes approach to a secure and scalable genomics data repository
title_full_unstemmed A five-safes approach to a secure and scalable genomics data repository
title_sort five-safes approach to a secure and scalable genomics data repository
publishDate 2023
url https://hdl.handle.net/10356/169695
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