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.
dvn, knitr, rfigshare, RCurl, XML, rfigshare, rdryad, OAIHarvester
WebTechnologies, Phylogenetics, ReproducibleResearch
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For attribution, please cite this work as
Leeper, "The R Journal: Archiving Reproducible Research with R and Dataverse", The R Journal, 2014
BibTeX citation
@article{RJ-2014-015,
author = {Leeper, Thomas J.},
title = {The R Journal: Archiving Reproducible Research with R and Dataverse},
journal = {The R Journal},
year = {2014},
note = {https://doi.org/10.32614/RJ-2014-015},
doi = {10.32614/RJ-2014-015},
volume = {6},
issue = {1},
issn = {2073-4859},
pages = {151-158}
}