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R programming environment in wildlife: Are Veterinary Sciences at the same level than other research areas?
Moisés Gonzálvez1, Clara Muñoz-Hernández2
1Departamento de Sanidad Animal, Facultad de Veterinaria, Campus de Excelencia Internacional Regional "Campus Mare Nostrum", Universidad de Murcia, 30100 Murcia, Spain; Departamento de Sanidad Animal, Grupo de Investigación en Sanidad Animal y Zoonosis (GISAZ), Universidad de Córdoba, 14014 Córdoba, Spain.
The R software is increasingly used in wildlife research globally, including in Veterinary Sciences. Enhanced methodological descriptions are encouraged for better reproducibility and transparency in wildlife data analysis.
Area of Science:
- Wildlife research
- Veterinary Sciences
- Biological Sciences
Background:
- The computing environment has transformed scientific data management and analysis.
- Evaluating the adoption and impact of R software in global wildlife research is crucial.
Approach:
- A systematic review of 509 articles from the Web of Science database was conducted.
- Analysis focused on the use of R software in wildlife studies, with a specific emphasis on Veterinary Sciences.
Key Points:
- Publications using R software show an increasing trend globally, with significant distribution in North America, Europe, Australia, and China.
- While most studies are in Biological Sciences, 5.9% are in Veterinary Sciences, primarily focusing on mammals and birds.
- A diverse range of R packages for data analysis, genetic studies, and graphical representation were identified, highlighting cross-disciplinary utility.
Conclusions:
- R software is a valuable open-source tool supporting wildlife research across various scientific domains, including Veterinary Sciences.
- Improved methodological descriptions of R software use in publications are recommended to enhance tracking, reproducibility, and transparency.
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