Implementing a successful data-management framework: the UK10K managed access model

被引:29
作者
Muddyman, Dawn [1 ]
Smee, Carol [1 ]
Griffin, Heather [2 ]
Kaye, Jane [2 ]
机构
[1] Wellcome Trust Sanger Inst, Cambridge CB10 1SA, England
[2] Univ Oxford, Ctr Hlth Law & Emerging Technol HeLEX, Nuffield Dept Populat Hlth, Oxford OX3 7LF, England
[3] UK10K Project, London, England
来源
GENOME MEDICINE | 2013年 / 5卷
基金
英国惠康基金;
关键词
Research Participant; Data Access; Management Committee; Wellcome Trust Sanger Institute; Rare Genetic Variant;
D O I
10.1186/gm504
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
This paper outlines the history behind open access principles and describes the development of a managed access data-sharing process for the UK10K Project, currently Britain's largest genomic sequencing consortium (2010 to 2013). Funded by the Wellcome Trust, the purpose of UK10K was two-fold: to investigate how low-frequency and rare genetic variants contribute to human disease, and to provide an enduring data resource for future research into human genetics. In this paper, we discuss the challenge of reconciling data-sharing principles with the practicalities of delivering a sequencing project of UK10K's scope and magnitude. We describe the development of a sustainable, easy-to-use managed access system that allowed rapid access to UK10K data, while protecting the interests of participants and data generators alike. Specifically, we focus in depth on the three key issues that emerge in the data pipeline: study recruitment, data release and data access.
引用
收藏
页数:9
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