gms | German Medical Science

Information Retrieval Meeting (IRM 2022)

10.06. - 11.06.2022, Cologne

Introduction to R, RStudio and litsearchr

Meeting Abstract

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  • corresponding author presenting/speaker Sarah Young - Carnegie Mellon University Libraries
  • Amelia Kallaher - Cornell University Library

Information Retrieval Meeting (IRM 2022). Cologne, 10.-11.06.2022. Düsseldorf: German Medical Science GMS Publishing House; 2022. Doc22irm05

doi: 10.3205/22irm05, urn:nbn:de:0183-22irm051

Published: June 8, 2022

© 2022 Young et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

Tools like R and Python are becoming increasingly useful in the conduct of systematic reviews and evidence synthesis. In R specifically, many tools have been developed specifically to facilitate the systematic review process. Some of these tools provide vignettes and examples to help novice coders make use of the tools in a coding environment like RStudio, and others have graphical user interfaces (GUIs) that make them accessible to users without coding experience. One such tool is litsearchr, an R package that supports term harvesting, Boolean search construction, and search strategy testing, among other steps. This workshop will introduce learners to the basics of the R coding language and the RStudio coding environment, in the context of litsearchr and evidence synthesis work. We will draw from a recently developed Library Carpentry lesson (https://carpentries-incubator.github.io/lc-litsearchr/). This workshop is geared towards participants with no coding experience. Participants will learn basic concepts of R and RStudio, providing a foundation for learning to code in R. They will get hands-on experience with the litsearchr GUI, as a tool that can be incorporated into their systematic review workflows.

Keywords: automation, coding, R, term harvesting