Analytics Frontiers Conference, 2023
Mar. 9, 2023
“reproducibility refers to the ability of a researcher to duplicate the results of a prior study using the same materials as were used by the original investigator. That is, a second researcher might use the same raw data to build the same analysis files and implement the same statistical analysis in an attempt to yield the same results. Reproducibility is a minimum necessary condition for a finding to be believable and informative.”
– U.S. National Science Foundation (NSF) subcommittee on replicability in science
CRDT
Develop reproducible analytical processes across research life cycle
Build and sustain data and computational infrastructure that align with reproducibility goals
Amend project management strategy to enable reproducible work and collaboration
Demonstrate value for organization and community through reproducible projects
Establish partnerships that champion research transparency and verifiability
Be a steward in helping our partners embrace these principles into their work
::: footer https://www.leibniz-fli.de/research/good-scientific-practice/rdm-at-fli :::
QoL Reproducible Workflow
Something is better than nothing
Expect and embrace pain
Be the change you want to see in others
Start small. Build in increments
Open Source first but be inclusive
You are doing it wrong if this is no fun
Help others. Share with others. Be nimble.
Don’t be a reproducibility fundamentalist