Implementing a successful data-management framework: the UK10K managed access model
| Autor: | Jane Kaye, Carol Smee, Heather Griffin, Dawn Muddyman |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
0303 health sciences
Knowledge management Operations research Scope (project management) Process (engineering) Computer science business.industry Data management 030305 genetics & heredity 03 medical and health sciences Resource (project management) Data access Correspondence Rapid access Genetics Molecular Medicine Genetics(clinical) Study recruitment business Data release Molecular Biology Genetics (clinical) 030304 developmental biology |
| Zdroj: | Genome Medicine |
| ISSN: | 1756-994X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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