MolgenisArmadillo - Armadillo Client for the Armadillo Service

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

Last updated 17 days ago

hacktoberfest

7.61 score 3 stars 35 scripts 419 downloads

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 7 months ago

hacktoberfest

6.57 score 52 scripts 354 downloads

MolgenisAuth - 'OpenID Connect' Discovery and Authentication

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

Last updated 6 months ago

jwt

5.58 score 8 stars 2 dependents 5 scripts 377 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 clientside package which should be installed locally, and is used in conjuncture with the serverside package 'dsTidyverse' which is installed on the remote server holding the data. For more information, see <https://www.tidyverse.org/>, <https://datashield.org/> and <https://github.com/molgenis/ds-tidyverse>.

Last updated 7 days ago

5.41 score 1 stars 1 scripts 556 downloads

dsTidyverse - 'DataSHIELD' 'Tidyverse' Serverside 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 serverside package which should be installed on the server holding the data, and is used in conjuncture with the clientside package 'dsTidyverseClient' which is installed in the local R environment of the analyst. For more information, see <https://www.tidyverse.org/> and <https://datashield.org/>.

Last updated 2 days ago

4.53 score 2 stars 2 scripts 554 downloads