Closing Remarks
ACCE Research Data and Project Management
01-02 May 2018, TUoS
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?
What simple steps are most helpful?
- standard taxonomies
- controlled vocabularies
- tidy data
- simple format
- etc. etc.
take aways
prepare it to share it
human readable code and machine readable data
automated pipeline from raw data to outputs
better in the open
make yourself the most expendable member of you team!
go further
coding
@tomjwebb agree very much with @ucfagls. Early investment in programming skills pays off in the future in terms of speed & reproducibility.
— Susan Johnston (@SuseJohnston) January 16, 2015
An Introduction to Reproducible Research in R and R Studio.
Research data management (RDM) open training materials on Zenodo
Coursera Reproducible Research MOOC
seek support
Your supervisor / research group /ACCE peers
Institutional Research Data Management Teams
NERC data centres (BODC Liverpool, EIDC CEH)
ROpenSci, Data Carpentry, Figshare, DMPTool…
Publish your markdown work on GitHub!
Use Git and GitHub to manage, publish and collaborate on your work
Keep learning with others
- #R4DS slack learning community. Sign up here
- Sheffield R Users group