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sbtools: A Package Connecting R to Cloud-based Data for Collaborative Online Research

Authors:

Luke Winslow

Scott Chamberlain

Alison Appling

Jordan Read

Publication Type:
Journal Article
Year of Publication:
2016
Secondary Title:
The R Journal
ISSN:
2072-4859
Volume:
8
Year:
2016
Date:
08/2016

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