A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
r-cubed: Guiding the overwhelmed scientist from random wrangling to Reproducible Research in R
2021
Journal of Open Source Education
The amount of biological data created increases every year, driven largely by technologies such as high-throughput -omics, real-time monitoring, or high resolution imaging in addition to greater access to routine administrative data and larger study populations. This not only presents operational challenges, but also highlights considerable needs for the skills and knowledge to manage, process, and analyze this data (Brownson et al., 2015) . Along with the open science movement on the rise,
doi:10.21105/jose.00122
fatcat:c2rlbbxssbfx7gcs4crv7zsmzm