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10_closing-slides.qmd
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---
title: "Closing Remarks"
author: "Dr Anna Krystallli"
subtitle: "Parting words and next steps"
institute: R-RSE
materials_url: https://acce-rrresearch.netlify.app/
format:
revealjs:
logo: assets/logo/r-rse-logo2.png
theme: [default, assets/css/styles.scss, assets/css/reveal.scss]
footer: "[{{< fa home >}}](index.qmd)"
from: markdown+emoji
template-partials:
- assets/layouts/title-slide.html
editor: visual
preload-iframes: true
lightbox: true
---
## tl;dr
. . .
-
### prepare it to share it
. . .
-
### human readable code and machine readable data
. . .
-
### automated pipeline from raw data to outputs
. . .
-
### better in the open
## take aways
### take ownership
-
#### Try to think ahead about where the pitfalls lie.
-
#### Iterate on your process. Every little helps
-
#### What works? What makes using data easy, what makes it painful?
> #### make yourself the [most expendable member](http://www.datacarpentry.org/blog/soft-skills/) of you team!
# Resources
## Additional content in materials on:
-
### Creating a research compendium with rrtools
------------------------------------------------------------------------
::: columns
::: {.column width="50%"}
### [BES guide to data management](http://www.britishecologicalsociety.org/wp-content/uploads/Publ_Data-Management-Booklet.pdf)
{fig-align="center" width="437"}
:::
::: {.column width="50%"}
### [BES guide to reproducible code](https://www.britishecologicalsociety.org/wp-content/uploads/2017/12/guide-to-reproducible-code.pdf)
{fig-align="center" width="423"}
:::
:::
## The Turing Way
:::: {.columns}
::: {.column width="50%"}
### Book
A lightly opinionated guide to reproducible data science <https://the-turing-way.netlify.com>
:::
::: {.column width="50%"}
### Workshops
- **Boost Your Research Reproducibility with Binder** [materials](https://github.com/alan-turing-institute/the-turing-way/tree/master/workshops/boost-research-reproducibility-binder)
- **Build a binderhub** [materials](https://github.com/alan-turing-institute/the-turing-way/tree/master/workshops/build-a-binderhub)
:::
::::
##### <https://github.com/alan-turing-institute/the-turing-way>
## Resources in R
#### R 4 Data Science
- [R for Data Science](https://r4ds.had.co.nz/)
#### Version Control
- [Happy Git and GitHub for the useR](https://happygitwithr.com/)
#### Advanced R
- [Advanced R](https://adv-r.hadley.nz/)
- [R packages](https://r-pkgs.org/) by Hadley Wickham and Jenny Bryan
#### Cheatsheets
- [Posit Cheatsheets](https://posit.co/resources/cheatsheets/)
- [Contributed Cheatsheets](https://rstudio.github.io/cheatsheets/contributed-cheatsheets.html)
# Support
## Institutional
::: columns
::: {.column width="50%"}
#### Research Data Management Teams
- University of Sheffield [RDM](https://www.sheffield.ac.uk/library/rdm)
- Unversity of York [RDM](http://www.york.ac.uk/rdm)
- University of Liverpool [RDM](http://www.liv.ac.uk/research-data-management/)
#### [NERC data centres](https://eds.ukri.org/environmental-data-service)
:::
::: {.column width="50%"}
#### Research Software Engineering Teams
- University of Sheffield [RSE](https://rse.shef.ac.uk/)
- Unversity of York [RSE](https://www.york.ac.uk/it-services/tools/research-computing/research-software-engineers/)
:::
:::
<br>
### **Your supervisor / research group /ACCE peers**
------------------------------------------------------------------------
## Communities
::: columns
::: {.column width="50%"}
### Local
- [Sheffield R Users Group](https://www.meetup.com/SheffieldR-Sheffield-R-Users-Group/)
- [Manchester R Users Group](https://www.rmanchester.org/)
- [Manchester R Ladies](https://www.meetup.com/rladies-manchester/)
- [Lancaster R Ladies](https://www.meetup.com/rladies-lancaster/)
- [Leeds R Users Group](https://r-users-leeds.netlify.app/)
:::
::: {.column width="50%"}
### Remote
- [rOpenSci](https://ropensci.org/)
- [Rstudio forum](https://community.rstudio.com/)
- [Rladies Remote & slack](https://www.meetup.com/rladies-remote/)
- [R4DS Learning community](https://www.rfordatasci.com/)
- [The Carpentries](https://carpentries.org/)
:::
:::
## Publish your work on GitHub!
Use **Git** and **GitHub** to manage, publish and collaborate on your work
## Share your work
### Work openly, Start a blog!
<blockquote class="twitter-tweet" data-lang="en">
<p lang="en" dir="ltr">
Ready to start your data science blog? Check out <a href="https://twitter.com/ma_salmon?ref_src=twsrc%5Etfw">@ma_salmon</a>'s excellent slides to help you figure out:<br><br>:thought_balloon:what you can write about, w/ examples. Hint: it's not just <a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> code!<br>:memo: how to get it done.<br>:speaking_head: where/how to share it.<a href="https://t.co/RpMOzU0Ntc">https://t.co/RpMOzU0Ntc</a>
</p>
— Emily Robinson (@robinson_es) <a href="https://twitter.com/robinson_es/status/977941365119176704?ref_src=twsrc%5Etfw">March 25, 2018</a>
</blockquote>
```{=html}
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
```
# Have fun!