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MOLGENIS Armadillo:A lightweight server for federated analysis using DataSHIELD

Title: MOLGENIS Armadillo:A lightweight server for federated analysis using DataSHIELD
Authors: Cadman, Tim; Slofstra, Mariska K.; Van Der Geest, Marije A.; Avraam, Demetris; Bishop, Tom R.P.; De Boer, Tommy; Duijts, Liesbeth; Haakma, Sido; Hyde, Eleanor; Jaddoe, Vincent; Karramass, Tarik; Kelpin, Fleur; Marcon, Yannick; Pinot De Moira, Angela; Postma, Dick; Tolboom, Clemens; Veenstra, Ruben L.; Wheater, Stuart; Welten, Marieke; Wilson, Rebecca C.; Zwart, Erik; Swertz, Morris
Source: Cadman, T, Slofstra, M K, Van Der Geest, M A, Avraam, D, Bishop, T R P, De Boer, T, Duijts, L, Haakma, S, Hyde, E, Jaddoe, V, Karramass, T, Kelpin, F, Marcon, Y, Pinot De Moira, A, Postma, D, Tolboom, C, Veenstra, R L, Wheater, S, Welten, M, Wilson, R C, Zwart, E & Swertz, M 2025, 'MOLGENIS Armadillo : A lightweight server for federated analysis using DataSHIELD', Bioinformatics, vol. 41, no. 1, btae726. https://doi.org/10.1093/bioinformatics/btae726
Publication Year: 2025
Subject Terms: /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being; name=SDG 3 - Good Health and Well-being
Description: 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.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 1367-4803; 1367-4811
Relation: info:eu-repo/semantics/altIdentifier/pmid/39673440; info:eu-repo/semantics/altIdentifier/pissn/1367-4803; info:eu-repo/semantics/altIdentifier/eissn/1367-4811
DOI: 10.1093/bioinformatics/btae726
Availability: https://pure.eur.nl/en/publications/47d631d6-2860-41d3-ad02-4e3db4e001d5; https://doi.org/10.1093/bioinformatics/btae726; https://pure.eur.nl/ws/files/181820480/MOLGENIS_Armadillo.pdf; https://www.scopus.com/pages/publications/85215378364
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.3AEBA270
Database: BASE