Closing Remarks
Parting words and next steps
Dr Anna Krystallli
R-RSE
https://acce-rrresearch.netlify.app/
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 of you team!
Resources
Additional content in materials on:
Creating a research compendium with rrtools
The Turing Way
https://github.com/alan-turing-institute/the-turing-way
Resources in R
R 4 Data Science
Version Control
Advanced R
- Advanced R
- R packages by Hadley Wickham and Jenny Bryan
Cheatsheets
Support
Institutional
Research Data Management Teams
NERC data centres
Your supervisor / research group /ACCE peers
Communities
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!
Ready to start your data science blog? Check out (ma_salmon?)’s excellent slides to help you figure out:
💭what you can write about, w/ examples. Hint: it’s not just #rstats code!
📝 how to get it done.
🗣️ where/how to share it.https://t.co/RpMOzU0Ntc— Emily Robinson ((robinson_es?)) March 25, 2018
Have fun!
Closing Remarks Parting words and next steps Dr Anna Krystallli R-RSE https://acce-rrresearch.netlify.app/