Branded as ‘A handbook for reproducible data science’, the resource includes a book, a community, and a global collaboration. being more efficient, effective and understandable, it’s main goal is to provide information that researchers will need at the start of their research projects to reproduce at the end. It prompts researcher to better mexico rcs data planning in analysis and to think carefully about what their code is doing. GitHub can help support code sharing and build collaboration.
Kirsty also introduced the UK Reproducibility Network (UKRN) is a national peer-led consortium that seeks to understand the factors that contribute to poor research reproducibility and replicability. It works collaboratively to disseminate best practice and promote training activities.
A great example of an Early Career Researcher-led initiative is the ‘ReproducibiliTea’ Journal Club, which invites staff to get together to read papers and discuss issues on reproducibility.