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Reproducibility and Data Reuse in Life Science
Watch the full proceedings of a workshop on reproducibility and data reuse in life sciences, co-organised with SciLifeLab
Reproducibility in Cancer Biology: The challenges of replication
Interpreting the first results from the Reproducibility Project: Cancer Biology requires a highly nuanced approach.
Reproducibility in Cancer Biology: Making sense of replications
Brian A Nosek, Timothy M Errington
The first results from the Reproducibility Project: Cancer Biology suggest that there is scope for improving reproducibility in pre-clinical cancer research.
Correcting for physical distortions in visual stimuli improves reproducibility in zebrafish neuroscience
Timothy W Dunn, James E Fitzgerald
Computational analyses quantitatively account for optical refraction at air-water interfaces to enable visual neuroscientists to present distortion-free stimuli to underwater animals.
Reproducibility Project: Cancer Biology
Edited by Roger J Davis et al.
Investigating reproducibility in preclinical cancer research.
Media coverage: eLife, the Center for Open Science, and Science Exchange partner to assess the reproducibility of cancer biology research
Rebooting reproducibility: From re-execution to replication
Critical questions for building and employing more useful tools for reproducible research.
Cancer biology reproducibility effort takes another step forward
eLife, the Center for Open Science, and Science Exchange partner to assess the reproducibility of cancer biology research
Repurposing continuous integration tools for scientific analyses takes the headache out of reproducible research.
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