Closing Remarks

Parting words and next steps

Dr Anna Krystalli

R-RSE

https://acce-rrresearch-2026.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 your team!

Resources

Additional content in materials on:

Creating a research compendium with rrtools

BES guide to data management

BES guide to reproducible code

The Turing Way

Book

A lightly opinionated guide to reproducible data science https://book.the-turing-way.org/

Workshops

Boost Your Research Reproducibility with Binder materials
Build a binderhub materials

https://github.com/alan-turing-institute/the-turing-way

Resources in R

R 4 Data Science

R for Data Science

Version Control

Happy Git and GitHub for the useR

Advanced R

Advanced R
R packages by Hadley Wickham and Jenny Bryan

Cheatsheets

Support

Institutional

Research Data Management Teams

University of Sheffield RDM
Unversity of York RDM
University of Liverpool RDM

NERC data centres

Research Software Engineering Teams

University of Sheffield RSE
Unversity of York RSE

Your supervisor / research group /ACCE peers

Communities

Local

Remote

Publish your work on GitHub!

Use Git and GitHub to manage, publish and collaborate on your work

Have fun!