Facilitating Reproducibility and Collaboration with Literate Programming
Authors
Dekker, HarrisonDocument Type
WorkshopPublication Date
2018-04-05Keywords
Rliterate programming
scholarly communication
reproducible research
Library and Information Science
Scholarly Communication
Metadata
Show full item recordAbstract
A fundamental challenge for open science is how best to create and share documents containing computational results. Traditional methods involve maintaining the code, generated tables and figures, and text as separate files and manually assembling them into a finished document. As projects grow in complexity, this approach can lead to procedures which are error prone and hard to replicate. Fortunately, new tools are emerging to address this problem and librarians who provide data services are ideally positioned to provide training. In the workshop we’ll use RStudio to demonstrate how to create a “compilable” document containing all the text elements (including bibliography), as well as the code required to create embedded graphs and tables. We’ll demonstrate how the process facilitates making revisions when, for example, a reviewer has suggested a revision or when there has been a change in the underlying data. We’ll also demonstrate the convenience of integrating version control into the workflow using RStudio’s built-in support for git. Slides and exercises are available at https://hdekk.github.io/escience2018/.Permanent Link to this Item
http://hdl.handle.net/20.500.14038/28719Distribution License
http://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/