Fig 1.
A schematic diagram of a multi-site DataSHIELD infrastructure.
It includes one central analysis node (the client) and three data nodes (the servers).
Table 1.
Main characteristics of the proposed infrastructure for privacy-protected federated data analyses with big data.
Table 2.
Available resources at the resourcer R package and extensions for genomic data.
Fig 2.
Scheme of DataSHIELD implementention of genomic data analysis.
The dsOmics package contains functions to perform non-disclosive data analyses of resources encoding genomic data that are managed within Opal using the resourcer package. Genomic data normally have two pieces of information, one corresponding to variants (e.g. SNPs) and another for phenotypic data (grouping variable, outcome, covariates, …). Both can be stored in different resources. BAM/VCF/PLINK for SNPs and text/csv file for phenotypes and covariates. This package should be installed in the Opal server along with their dependences. The package dsOmicsClient must be available in the client side and contains functions that allow the interaction between the analysis computer and the servers.