The R Journal: article published in 2014, volume 6:1

Archiving Reproducible Research with R and Dataverse
Thomas J. Leeper , The R Journal (2014) 6:1, pages 151-158.

Abstract Reproducible research and data archiving are increasingly important issues in research involving statistical analyses of quantitative data. This article introduces the dvn package, which allows R users to publicly archive datasets, analysis files, codebooks, and associated metadata in Dataverse Network online repositories, an open-source data archiving project sponsored by Harvard University. In this article I review the importance of data archiving in the context of reproducible research, introduces the Dataverse Network, explain the implementation of the dvn package, and provide example code for archiving and releasing data using the package.

Received: 2013-12-06; online 2014-03-03
CRAN packages: dvn, knitr, rfigshare, RCurl, XML, rfigshare, rdryad, OAIHarvester
CRAN Task Views implied by cited CRAN packages: WebTechnologies, Phylogenetics, ReproducibleResearch

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2014-015,
  author = {Thomas J. Leeper},
  title = {{Archiving Reproducible Research with R and Dataverse}},
  year = {2014},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2014-015},
  url = {https://doi.org/10.32614/RJ-2014-015},
  pages = {151--158},
  volume = {6},
  number = {1}
}