Code sharing in ecology and evolution increases citation rates but remains uncommon

Abstract Biologists increasingly rely on computer code to collect and analyze their data, reinforcing the importance of published code for transparency, reproducibility, training, and a basis for further work. Here, we conduct a literature review estimating temporal trends in code sharing in ecology...

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Autores principales:	Brian Maitner, Paul Efren Santos Andrade, Luna Lei, Jamie Kass, Hannah L. Owens, George C. G. Barbosa, Brad Boyle, Matiss Castorena, Brian J. Enquist, Xiao Feng, Daniel S. Park, Andrea Paz, Gonzalo Pinilla‐Buitrago, Cory Merow, Adam Wilson
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Wiley 2024-08-01
Colección:	Ecology and Evolution
Materias:	code sharing open access open data open science R software reproducibility
Acceso en línea:	https://doi.org/10.1002/ece3.70030
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