ctrlnum 1345320
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Norah ANTHONY</creator><date>2018-08-14</date><description>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).</description><description>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.</description><identifier>https://zenodo.org/record/1345320</identifier><identifier>10.5281/zenodo.1345320</identifier><identifier>oai:zenodo.org:1345320</identifier><language>eng</language><relation>info:eu-repo/semantics/altIdentifier/url/https://github.com/hms-dbmi/Reproducible_FAIR_NHANES</relation><relation>url:https://github.com/hms-dbmi/Reproducible_FAIR_NHANES/tree/v1.2</relation><relation>url:https://nhanes.hms.harvard.edu/</relation><relation>url:https://www.cdc.gov/nchs/nhanes/index.htm</relation><relation>url:https://github.com/hms-dbmi/Rcupcake-case-studies/blob/master/NHANEScaseStudy_v01.ipynb</relation><relation>url:https://zenodo.org/</relation><relation>doi:10.1038/sdata.2016.18</relation><relation>doi:10.5281/zenodo.1344580</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://opensource.org/licenses/Apache-2.0</rights><subject>reproducible</subject><subject>findable</subject><subject>accessible</subject><subject>interoperable</subject><subject>reusable</subject><subject>F.A.I.R</subject><subject>FAIR</subject><subject>N.H.A.N.E.S</subject><subject>NHANES unified dataset</subject><subject>NHANES</subject><subject>executable</subject><subject>statistical analysis</subject><subject>statistical analysis</subject><subject>Jupyter notebook</subject><subject>Rcupcake package</subject><subject>BMI</subject><subject>body mass index</subject><subject>Waist Circumference</subject><subject>mybinder</subject><subject>Github</subject><subject>fairness</subject><subject>open</subject><subject>discoverable</subject><subject>science</subject><subject>zenodo</subject><subject>R</subject><subject>Reproducibility of Results</subject><subject>Waist circumference</subject><subject>Body Mass Index</subject><subject>Age Distribution</subject><subject>Data Interpretation, Statistical</subject><title>Reproducible_FAIR_NHANES</title><type>Other:info:eu-repo/semantics/other</type><type>Other:Other</type><recordID>1345320</recordID></dc>
language eng
format Other:info:eu-repo/semantics/other
Other
Other:Other
Journal:eJournal
Journal
author Norah ANTHONY
title Reproducible_FAIR_NHANES
publishDate 2018
topic 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
url https://zenodo.org/record/1345320
contents 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.
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institution Universitas PGRI Palembang
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collection Marga Life in South Sumatra in the Past: Puyang Concept Sacrificed and Demythosized
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