Reproducibility in life science research

Tools to facilitate reproducibility

Systems Commerce, Information Systems, Systems Biology: what advantages does good design have?

Reproducibility crisis. The wiki page gives a decent overview to the problem and surveys the major angles for addressing this issue.
The fundamental observation is that many studies in the literature are not reproducible by third parties.
Some disagreement as to the severity of the problem or how to deal with the problem.
What can we do as quantitative life sciencists (data scientists, bioinformaticians, computational biologists)?

Simple clerical mistakes
Poor or incomplete description of the result
Poor or incomplete description of method
Problems (eg technical or selection bias) in profiling
Inaccessible supporting data incl. training set
Improper use of training/validation dataset
Bugs in computer code
Lack of statistical power in the study
Improper or naive use of statistics (eg pvalues) Why most published research findings are false, Ioannidis
Society and human nature: competition, time constraints, poverty, acknowledegment
Other?

Bioinformatics’ mandatesinclude development of ethical guidelines, standards and education.
Data science contributes methods for better expressing our results.
Computational biology continues to improve methodology and integration with solid statistical foundations.