An open investigation of the reproducibility of cancer biology research
By Timothy M. Errington, Elizabeth Iorns, William Gunn, F. Tan, Joelle Lomax, Brian A. Nosek. 2014
272 citations recorded by the source corpus.
It is widely believed that research that builds upon previously published findings has reproduced the original work. However, it is rare for researchers to perform or publish direct replications of existing results. The Reproducibility Project: Cancer Biology is an open investigation of reproducibility in preclinical cancer biology research. We have identified 50 high impact cancer biology articles published in the period 2010-2012, and plan to replicate a subset of experimental results from each article. A Registered Report detailing the proposed experimental designs and protocols for each subset of experiments will be peer reviewed and published prior to data collection. The results of these experiments will then be published in a Replication Study. The resulting open methodology and dataset will provide evidence about the reproducibility of high-impact results, and an opportunity to identify predictors of reproducibility. DOI: http://dx.doi.org/10.7554/eLife.04333.001
Subfields: Biophysics, Molecular Biology, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biophysics
In Molecular Biology
- Roger Giner-Sorolla
- A. V. Veer
- Eric-Jan Wagenmakers
- Brian A. Nosek
- Gandalf Nicolas
- Sacha Epskamp
- Marcus Munafò
- Denny Borsboom
In Statistics and Probability
- A. V. Veer
- Roger Giner-Sorolla
- Daniël Lakens
- Eric-Jan Wagenmakers
- Wolf Vanpaemel
- Jordan R. Axt
- Jin X. Goh
- Denny Borsboom
Citations in the corpus
- Estimating the reproducibility of psychological science (2015, background): “such as the ongoing effort in cancer biology (35), would yield insight about common and unique challenges and may cross-fertilize strategies to improve reproducibility.”