fairdataone

Status: Incomplete Work in Progress (WIP)

This repository contains the data and code for our paper:

S. Jeanette Clark, Chris Beltz, Peter Slaughter, Ted Habermmann, Matthew B. Jones, (2021). A quantitiative assessment of metadata practices in the global DataONE repository network. Name of journal/book https://doi.org/xxx/xxx

Our pre-print is online here:

S. Jeanette Clark, Chris Beltz, Peter Slaughter, Ted Habermmann, Matthew B. Jones, (2021). A quantitiative assessment of metadata practices in the global DataONE repository network. Name of journal/book, Accessed 24 Feb 2021. Online at https://doi.org/xxx/xxx

How to cite

Please cite this compendium as:

S. Jeanette Clark, Chris Beltz, Peter Slaughter, Ted Habermmann, Matthew B. Jones, (2021). Compendium of R code and data for A quantitiative assessment of metadata practices in the global DataONE repository network. Accessed 24 Feb 2021. Online at https://doi.org/xxx/xxx

Contents

• :file_folder: manuscript: R Markdown source document for manuscript. Includes code to reproduce the figures and tables generated by the analysis. It also has a rendered version, manuscript.pdf, suitable for reading (the code is replaced by figures and tables in this file)
• :file_folder: data: Data used in the analysis. Most data are retrieved from a data archive, but small static data files may also be retrieved from this directory.
• :file_folder: figures: Plots and other illustrations.

How to run run locally

This research compendium has been developed using the statistical programming language R. To work with the compendium, you will need installed on your computer the R software itself and optionally RStudio Desktop.

After downloading the compendium from GitHub:

• open the .Rproj file in RStudio
• run devtools::install() to ensure you have the packages this analysis depends on (also listed in the DESCRIPTION file). This also installs the fairdataone package, which is necessary to Knit the manuscript.
• finally, open manuscript/manuscript.Rmd and knit to produce the manuscript.pdf, or run rmarkdown::render("manuscript/manuscript.Rmd") in the R console.

Licenses

Text and figures : CC-BY-4.0

Code : See the DESCRIPTION file

Data : CC-0 attribution requested in reuse