10.5281/zenodo.2603311
https://zenodo.org/records/2603311
oai:zenodo.org:2603311
Luke W Johnston
Luke W Johnston
0000-0003-4169-2616
Aarhus University
Daniel R Witte
Daniel R Witte
0000-0002-0769-2922
Aarhus University
João Santiago
João Santiago
0000-0002-5456-8705
Anna Schritz
Anna Schritz
Luxembourg Institute of Health
Reproducible Quantitative Methods: Data analysis workflow using R
Zenodo
2019
reproducible research
data analysis education
training
educational material
R programming
R statistical computing
data analysis workflow
open science
2019-03-22
eng
Interactive resource
10.5281/zenodo.2603310
v1.0.0
Creative Commons Attribution 4.0 International
Reproducibility and open scientific practices are increasingly being requested or required of scientists and researchers, but training on these practices has not kept pace. This course, offered by the Danish Diabetes Academy, intends to help bridge that gap. This course is aimed mainly at early career researchers (e.g. PhD and postdocs) and covers the fundamentals and workflow of data analysis in R.
This repository contains the lesson, lecture, and assignment material for the course, including the website source files and other associated course administration files.
For more detail on the course, check out the syllabus.