Reproducibility usually means obtaining the same results with the
same data.
Across different disciplines and methodologies, the understanding of
what reproducibility means can be very different.
Reproducible research is not the same as open research - it is
important to share research outputs to be able to reproduce others’
studies, but research can be made fully reproducible even if it cannot
be made fully open.
Recent studies point to many issues with reproducibility across
different disciplines, something that has been termed “reproducibility
crisis”
Making research more reproducible contributes to general research
improvement, quality and rigor but also to higher efficiency and easier
error correction for researchers
This does not come without specific challenges, such as time
constraints, technical issues and the need of specific skills for making
research outputs reproducible
To overcome the challenges, researchers are in need of proper tools,
solutions, research support staff, infrastructure and training