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index.qmd
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# Welcome! {.unnumbered}
[](https://creativecommons.org/licenses/by/4.0/)
[](https://doi.org/10.5281/zenodo.4061900)
```{r write-packages-to-bib, include=FALSE}
# automatically create a bib database for R packages
knitr::write_bib(
unique(desc::desc_get_deps()$package[-1]),
here::here("includes/packages.bib")
)
```
Reproducibility and open scientific practices are increasingly demanded
of, and needed by, scientists and researchers in our modern research
environments. As our tools for generating data become more sophisticated
and powerful, we also need to use more sophisticated and powerful tools
for processing the data. Training on how to use these tools and how to
build modern data processing skills is lacking for researchers, even
though this work is extremely time-consuming and technical. As a
consequence of this lack of awareness for the need of these skills, how
*exactly* data is processed is poorly, if at all, described in
scientific studies. This hidden aspect of research could have major
impacts on the reproducibility of studies. This workshop is therefore
aimed to specifically to start addressing these types of problems.
The workshop is designed as a series of participatory live-coding
lessons, where the instructor and learners code together, and is
interspersed with hands-on exercises, discussion time, reading tasks,
and group project work, all while using a real-world (open) dataset.
This website contains *all* of the material for the workshop, including
for both the learner and the instructor. It is structured as a book,
with "chapters" as sessions, given in order of appearance. We make heavy
use of the website throughout the workshop where code-along sessions
follow the material on the website nearly exactly (with slight
modifications for time or more detailed explanations).
The workshop material was created using [Quarto](https://quarto.org) to
write the material and create the book format,
[GitHub](https://github.com/) to host the [Git](https://git-scm.com/)
repository of the material, and [GitHub
Actions](https://github.com/features/actions) with
[Netlify](https://www.netlify.com/) to build and host the website. The
original source material for this workshop is found on the
[`r-cubed-intermediate`](https://github.com/rostools/r-cubed-intermediate)
GitHub repository.
Want to contribute to this workshop? Check out the
[README](https://github.com/rostools/r-cubed-intermediate/blob/main/README.md)
file as well as the
[CONTRIBUTING](https://github.com/rostools/r-cubed-intermediate/blob/main/CONTRIBUTING.md)
file on the GitHub repository for more details. The main way to
contribute is by using [GitHub](https://github.com/) and creating a [new
issue](https://github.com/rostools/r-cubed-intermediate/issues/new) to
make comments and give feedback for the material.
## Target audiences
This website and its content are targeted to three groups:
1. For the **learners** to use during the workshop, both to follow
along in case they get lost and also to use as a reference after the
workshop ends. See @sec-is-it-for-you for a more detailed description
of who the learner is.
2. For the **instructors** to use as a guide for when they do the
code-along sessions and presentations.
3. For those who are **interested in teaching**, who may not have much
experience or may not know where to start, to use this website as a
guide to running and instructing their own workshops.
## Re-use and licensing {#licensing}
The workshop is licensed under the [Creative Commons Attribution 4.0
International License](https://creativecommons.org/licenses/by/4.0/) so
the material can be used, re-used, and modified, as long as there is
attribution to this source.
## Acknowledgements
The workshop material draws inspiration from these excellent resources:
- [R for Data Science](https://r4ds.had.co.nz/)
- [Advanced R](https://adv-r.hadley.nz/)
- [R Packages](https://r-pkgs.org/)
- [UofTCoders Reproducible Quantitative Methods for
EEB](https://uoftcoders.github.io/rcourse/)
- [Software and Data Carpentry](https://carpentries.org/) workshop
material
The [Danish Diabetes and Endocrinology
Academy](https://www.ddeacademy.dk/) hosted, organized, and sponsored
this workshop many times. A huge thanks to them for their involvement,
support, and sponsorship! [Steno Diabetes Center
Aarhus](https://www.stenoaarhus.dk/) and [Aarhus
University](https://international.au.dk/) employs Luke, who is the lead
instructor and educational resource developer.
::: {layout-ncol="2"}
{width="220px" fig-align="center"
fig-alt="Danish Diabetes and Endocrinology Academy logo"}
{width="110px" fig-align="center"
fig-alt="Steno Diabetes Center Aarhus logo"}
:::