A Practical Guide to Conducting Systematic Literature Review Using R Software
Keywords:Systematic literature review, review guide, R software
A systematic literature review (SLR) is a highly rigorous inquiry of existing literature that addresses a formulated question. The review systematically searches, identifies, selects, appraises, and synthesizes research evidence relevant to the question that makes an SLR rigorous. Practicing this rigorous scientific inquiry can be overwhelming for first-time users. In the effort to assist the researchers, tools are introduced to ease their SLR inquiries. Therefore, this paper aims to provide the reader with practical steps to conduct a systematic review using R software. In this demonstration, we describe a systematic review and its challenges briefly. Then, readers are guided thoroughly with the steps from managing until sharing the bibliographic information with other co-researchers to conduct a systematic literature review. Every step of the procedure is explained in detail supported by the codes for R and screenshots of the output.
Borah R, Brown, A.W., Capers, P. L, & Kaiser, K. A. (2017). Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry. British Medical Journal Open, 7. DOI:10.1136/bmjopen-2016-012545.
R Core Team (2014). R: A language and environment for statistical computing. (3.0.3) [Computer software]. Vienna, Austria: Foundation for Statistical Computing.
Rinker, T. W. (2018). textclean: Text Cleaning Tools. R packages version 0.9.3.
RStudio (2012). RStudio: Integrated development environment for R (Version 0.96.122) [Computer software]. Boston, MA. Retrieved May 20, 2012.
Synder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333-339. DOI: 10.1016/j.jbusres.2019.07.039
Westgate, M. J. (2019). revtools: Tools to support evidence synthesis. R package version 0.4.1.
Wickham et al., (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686.
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Copyright (c) 2023 Priyalatha Govindasamy, Amelia Mohd Noor, Nor Junainah Mohd Isa, Antonio Olmos, Kathy Green
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