Daftar Isi: Reproducible_FAIR

Main Author:	Norah ANTHONY
Format:	info Lainnya eJournal
Bahasa:	eng
Terbitan:	, 2018
Subjects:	reproducible findable accessible interoperable reusable F.A.I.R FAIR N.H.A.N.E.S NHANES unified dataset NHANES executable statistical analysis Jupyter notebook Rcupcake package BMI body mass index Waist Circumference mybinder Github fairness open discoverable science zenodo R Reproducibility of Results Waist circumference Body Mass Index Age Distribution Data Interpretation Statistical
Online Access:	https://zenodo.org/record/1345320

Daftar Isi:

The digital object is a Github repository that can also be found by clicking Reproducible_FAIR_NHANES It comprises a Jupyter notebook file (ipynb) containing a statistical analysis performed on NHANES data (test of the association between having a sugar-free diet and the waist circumference), 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).
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.