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ViPAR: A software platform for the Virtual Pooling and Analysis of Research Data

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  • Kim W Carter, University of Western Australia, Perth, WA, Australia, Australien
  • Richard W Francis, University of Western Australia, Perth, WA, Australia, Australien
  • M Bresnahan, Columbia University, New Yordk, USA
  • M Gissler, National Institute for Health and Welfare, Finland
  • T K Grønborg
  • R Gross, Sheba Medical Center, Tel Aviv, Israel., Israel
  • N Gunnes, Norwegian Institute of Public Health, Oslo, Norway., Norge
  • G Hammond, University of Western Australia, Perth, WA, Australia, Australien
  • M Hornig, Columbia University, New York, USA
  • C M Hultman, Karolinska Institute, Stockholm, Sverige
  • J Huttunen, Turku university, Finland
  • A Langridge, University of Western Australia, Perth, WA, Australia, Australien
  • H Leonard, University of Western Australia, Perth, WA, Australia, Australien
  • S Newman, Dept. of Physics, King's College, Storbritannien
  • E T Parner
  • G Petersson, Karolinska Institutet, Sverige
  • A Reichenberg, Dept. of Physics, King's College, Storbritannien
  • S Sandin, Karolinska Institutet, Sverige
  • Diana Schendel
  • L Schalkwyk, Dept. of Physics, King's College, Storbritannien
  • A Sourander, University of Turku, Finland
  • C Steadman, University of Western Australia, Perth, WA, Australia, Australien
  • C Stoltenberg, Norwegian Institute of Public Health, Oslo, Norway., Norge
  • A Suominen, University of Turku, Finland
  • P Surén, Norwegian Institute of Public Health, Norge
  • E Susser, Columbia University, USA
  • A Sylvester Vethanayagam, Danmark
  • Z Yusof, Karolinska Institute, Stockholm, Sverige
  • International Collaboration for Autism Registry Epidemiology

BACKGROUND: Research studies exploring the determinants of disease require sufficient statistical power to detect meaningful effects. Sample size is often increased through centralized pooling of disparately located datasets, though ethical, privacy and data ownership issues can often hamper this process. Methods that facilitate the sharing of research data that are sympathetic with these issues and which allow flexible and detailed statistical analyses are therefore in critical need. We have created a software platform for the Virtual Pooling and Analysis of Research data (ViPAR), which employs free and open source methods to provide researchers with a web-based platform to analyse datasets housed in disparate locations.

METHODS: Database federation permits controlled access to remotely located datasets from a central location. The Secure Shell protocol allows data to be securely exchanged between devices over an insecure network. ViPAR combines these free technologies into a solution that facilitates 'virtual pooling' where data can be temporarily pooled into computer memory and made available for analysis without the need for permanent central storage.

RESULTS: Within the ViPAR infrastructure, remote sites manage their own harmonized research dataset in a database hosted at their site, while a central server hosts the data federation component and a secure analysis portal. When an analysis is initiated, requested data are retrieved from each remote site and virtually pooled at the central site. The data are then analysed by statistical software and, on completion, results of the analysis are returned to the user and the virtually pooled data are removed from memory.

CONCLUSIONS: ViPAR is a secure, flexible and powerful analysis platform built on open source technology that is currently in use by large international consortia, and is made publicly available at [http://bioinformatics.childhealthresearch.org.au/software/vipar/].

OriginalsprogEngelsk
TidsskriftInternational Journal of Epidemiology
Vol/bind45
Nummer2
Sider (fra-til)408-416
Antal sider9
ISSN0300-5771
DOI
StatusUdgivet - 2016

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