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Published August 13, 2018 | Version v1.1
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ReproducibleFAIR

Authors/Creators

Contributors

Researcher:

Description

The digital object is a Github repository that can be found here : ReproducibleFAIR

It comprises a Jupyter notebook file (ipynb) containing a statistical analysis performed on NHANES data, a readme file, a license file (Apache 2 license), an install.R file, a runtime.txt file and a R script file (R_code_of_the_statistical_analysis.r). R 3.3.1 is the programming language used in the notebook. The readme file explains the purpose of the repository and provide instructions on how to retrieve its metadata. A 'launchbinder" button and a link that direct to an executable environment of the code are also included. They enable to reproduce the analysis within a click. The metadata of the GitHub repository are supposedly rich enough to make the GitHub repository F.A.I.R (findable, accessible, interoperable, reusable).

Notes

The R packages loaded in the Jupyter notebook are : dplyr, prettyR, knitr, devtools, BiocInstaller and Rcupcake. The MRAN snapshot is set to 2018-07-06.

Files

hms-dbmi/ReproducibleFAIR-v1.1.zip

Files (116.3 kB)

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