R programming environment in wildlife: Are Veterinary Sciences at the same level than other research areas?

Res Vet Sci

Departamento de Sanidad Animal, Facultad de Veterinaria, Campus de Excelencia Internacional Regional "Campus Mare Nostrum", Universidad de Murcia, 30100 Murcia, Spain; Grupo SaBio, Instituto de Investigación en Recursos Cinegéticos, IREC (CSIC, UCLM, JCCM), 13005 Ciudad Real, Spain.

Published: January 2024

The computing environment has revolutionized the management and analysis of data in sciences during the last decades. This study aimed to evaluate the use of R software in research articles addressing the study of wildlife worldwide, particularly focusing on the research area "Veterinary Sciences". For this purpose, a systematic review mainly performed in the Web of Science database was conducted. Out of a total of 509 articles reviewed, our results show an increasing trend of the number of publications using the R software over time, as well as a wide geographical distribution at a global scale, particularly in North America, Europe, Australia and China. Most publications were categorized in research areas related to "Biological Sciences", while a minority of them was included in "Veterinary Sciences" (5.9%; 30/509). About the species groups assessed, many articles evaluated a single species group (96.5%), being mammals (50.7%) and birds (14.8%) the most studied ones. The present study showed a high variety of R-packages used in the publications reviewed, all of them related to data analysis, the study of genetic/phylogenetic information and graphical representation. Interestingly, the common use of packages between different research areas is indicative of the high interest of using R software in scientific articles. Our study points the R software as an open-source programming language that allows to support research addressing the study of wildlife, becoming a key software for many research areas, including "Veterinary Sciences". However, an in-depth methodological description about the use of R software in publications to improve the tracking, reproducibility and transparency is encouraged.

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http://dx.doi.org/10.1016/j.rvsc.2023.105079DOI Listing

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