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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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Principais autores: 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
Idioma:Inglês
Publicado em: Wiley 2024-08-01
coleção:Ecology and Evolution
Assuntos:
code sharing
open access
open data
open science
R software
reproducibility
Acesso em linha:https://doi.org/10.1002/ece3.70030
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