#moc

Open Science §

Date created: 2022-08-17

Sources §

Scientific articles §

Inappropriate use of machine learning techniques results in reproducibility issues across scientific fields - Kapoor2022 - Leakage and the Reproducbility Crisis in ML-based Science

Soderberg2021 - Initial evidence of research quality of registered reports compared with the standard publishing model

Markowetz2015 - Five selfish reasons to work reproducibly

News & blog §

Could machine learning fuel a reproducibility crisis in science

Transparency is necessary but not sufficient to evaluate the quality of a data analysis

Underpowered studies and publication bias can generate unlucky winners that try to replicate a false positive finding in subsequent research