The R Journal: article published in 2016, volume 8:1

sbtools: A Package Connecting R to Cloud-based Data for Collaborative Online Research PDF download
Luke A Winslow, Scott Chamberlain, Alison P Appling and Jordan S Read , The R Journal (2016) 8:1, pages 387-398.

Abstract The adoption of high-quality tools for collaboration and reproducibile research such as R and Github is becoming more common in many research fields. While Github and other version management systems are excellent resources, they were originally designed to handle code and scale poorly to large text-based or binary datasets. A number of scientific data repositories are coming online and are often focused on dataset archival and publication. To handle collaborative workflows using large scientific datasets, there is increasing need to connect cloud-based online data storage to R. In this article, we describe how the new R package sbtools enables direct access to the advanced online data functionality provided by ScienceBase, the U.S. Geological Survey’s online scientific data storage platform.

Received: 2016-04-30; online 2016-07-23

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

  author = {Luke A Winslow and Scott Chamberlain and Alison P Appling
          and Jordan S Read},
  title = {{sbtools: A Package Connecting R to Cloud-based Data for
          Collaborative Online Research}},
  year = {2016},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2016-029},
  url = {},
  pages = {387--398},
  volume = {8},
  number = {1}