ViPAR: a software platform for the Virtual Pooling and Analysis of Research Data.
Open accessAbstract
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/].
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- Authors
- Carter, K. W., Carter, K., Francis, R., Bresnahan, M., Gissler, M., Grønborg, T., Gross, R., Gunnes, N., Hammond, G., Hornig, M., Hultman, C., Huttunen, J., Langridge, A., Leonard, H., Newman, S., Parner, E., Petersson, G., Reichenberg, A., Sandin, S., Schendel, D., Schalkwyk, L., Sourander, A., Steadman, C., Stoltenberg, C., Suominen, A., Surén, P., Susser, E., Sylvester Vethanayagam, A., & Yusof, Z.
- Affiliations
- The Kids Research Institute Australia (AU)
- New York State Psychiatric Institute (US)
- Finnish Institute for Health and Welfare (FI)
- Tel Aviv University (IL)
- Norwegian Institute of Public Health (NO)
- Columbia University (US)
- Karolinska Institutet (SE)
- University of Turku (FI)
- King's College London (GB)
- Aarhus University (DK)
- Corresponding author
- Carter, Kim W
- Carter, KW
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-10-08
- Volume
- 45
- Issue
- 2
- Pages
- 408-416
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- PMC
- PMC4864874
- OpenAlex
- W2243210237
- Cited by
- 51
- References
- 14
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 7 · 2021: 6 · 2020: 4 · 2019: 7 · 2018: 8 · 2017: 5 · 2016: 8
- FWCI
- 18.82
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- International Journal of Epidemiology (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- UWA Profiles and Research Repository (UWA) (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, cc-by-nc)
- Open Access at Essex (University of Essex) (acceptedVersion)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by-nc)
- BIBSYS Brage (BIBSYS (Norway)) (submittedVersion)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Autism Speaks (6246–6249)
- McCusker Charitable Foundation
- Lundbeckfonden (R155-2014-1724)
- Government of Western Australia
- Topics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Keywords
- research data sharing, database federation, remote data access, open source software, web-based analysis tool, data privacy, data ownership, statistical power, international research consortia
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