Cadman, Tim, Slofstra, Mariska K, van der Geest, Marije A, Avraam, Demetris, Bishop, Tom RP, de Boer, Tommy, Duijts, Liesbeth, Haakma, Sido, Hyde, Eleanor, Jaddoe, Vincent et al (show 12 more authors)
(2024)
MOLGENIS Armadillo: a lightweight server for federated analysis using DataSHIELD.
Bioinformatics (Oxford, England), 41 (1).
btae726-btae726.
ISSN 1367-4803, 1367-4811
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MOLGENIS Armadillo a lightweight server for federated analysis using DataSHIELD.pdf - Open Access published version Available under License Creative Commons Attribution. Download (826kB) | Preview |
Abstract
<h4>Summary</h4>Extensive human health data from cohort studies, national registries, and biobanks can reveal lifecourse risk factors impacting health. Combining these sources offers increased statistical power, rare outcome detection, replication of findings, and extended study periods. Traditionally, this required data transfer to a central location or separate partner analyses with pooled summary statistics, posing ethical, legal, and time constraints. Federated analysis-which involves remote data analysis without sharing individual-level data-is a promising alternative. One promising solution is DataSHIELD (https://datashield.org/), an open-source R based implementation. To enable federated analysis, data owners need a user-friendly way to install the federated infrastructure and manage users and data. Here, we present MOLGENIS Armadillo: a lightweight server for federated analysis solutions such as DataSHIELD.<h4>Availability and implementation</h4>Armadillo is implemented as a collection of three packages freely available under the open source licence LGPLv3: two R packages downloadable from the Comprehensive R Archive Network (CRAN) ("MolgenisArmadillo" and "DSMolgenisArmdillo") and one Java application ("ArmadilloService") as jar and docker images via Github (https://github.com/molgenis/molgenis-service-armadillo).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Humans, Computational Biology, Software |
| Divisions: | Faculty of Health & Life Sciences Faculty of Health & Life Sciences > Inst. Population Health |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 13 Feb 2025 09:38 |
| Last Modified: | 23 May 2026 09:38 |
| DOI: | 10.1093/bioinformatics/btae726 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3190263 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
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