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DSMolgenisArmadillo - 'DataSHIELD' Client for 'MOLGENIS Armadillo'

'DataSHIELD' is an infrastructure and series of R packages that enables the remote and 'non-disclosive' analysis of sensitive research data. This package is the 'DataSHIELD' interface implementation to analyze data shared on a 'MOLGENIS Armadillo' server. 'MOLGENIS Armadillo' is a light-weight 'DataSHIELD' server using a file store and an 'RServe' server.

Last updated

hacktoberfest

7.28 score 1 dependents 54 scripts 1.0k downloads

MolgenisArmadillo - Armadillo Client for the Armadillo Service

A set of functions to manage data shared on a 'MOLGENIS Armadillo' server.

Last updated

hacktoberfest

7.19 score 3 stars 39 scripts 870 downloads

MolgenisAuth - 'OpenID Connect' Discovery and Authentication

Discover 'OpenID Connect' endpoints and authenticate using device flow. Used by 'MOLGENIS' packages.

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jwt

5.75 score 6 stars 3 dependents 5 scripts 595 downloads

dsTidyverseClient - 'DataSHIELD' 'Tidyverse' Clientside Package

Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an open-source federated analysis solution in R. Currently, 'DataSHIELD' contains very limited tools for data manipulation, so the aim of this package is to improve the researcher experience by implementing essential functions for data manipulation, including subsetting, filtering, grouping, and renaming variables. This is the client-side package which should be installed locally, and is used in conjunction with the server-side package 'dsTidyverse' which is installed on the remote server holding the data. For more information, see <https://tidyverse.org/> and <https://datashield.org/>.

Last updated

5.48 score 1 stars 25 scripts 482 downloads

dsTidyverse - 'DataSHIELD' 'Tidyverse' Server-Side Package

Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an open-source federated analysis solution in R. Currently, DataSHIELD contains very limited tools for data manipulation, so the aim of this package is to improve the researcher experience by implementing essential functions for data manipulation, including subsetting, filtering, grouping, and renaming variables. This is the server-side package which should be installed on the server holding the data, and is used in conjunction with the client-side package 'dsTidyverseClient' which is installed in the local R environment of the analyst. For more information, see <https://tidyverse.org/> and <https://datashield.org/>.

Last updated

5.20 score 2 stars 2 scripts 497 downloads