Reproducible computational research (RCR) is the keystone of the scientific method for in
silico analyses, packaging the transformation of raw data to published results. In addition to …

Reproducibility is widely acknowledged as a fundamental principle in scientific research.
Currently, the scientific community grapples with numerous challenges associated with …

Data is a crucial component of machine learning. The field is reliant on data to train, validate,
and test models. With increased technical capabilities, machine learning research has …

One of the pathways by which the scientific community confirms the validity of a new
scientific discovery is by repeating the research that produced it. When a scientific effort fails …

Analytic reproducibility is important for scientific credibility in ecology, but the extent to which
scientific literature meets this criterion is not well understood. We surveyed 497 papers …

This article distills findings from a qualitative study of seven reproducibility initiatives to
enumerate nine key decision points for journals seeking to address concerns about the …

We carry out efforts to reproduce computational results for seven published articles and
identify barriers to computational reproducibility. We then derive three principles to guide the …

Research software has become essential in science, including in the life sciences [1, 2].
Most of this software is designed and built by research groups funded by short-term research …

Computational modeling occupies a unique niche in Earth and environmental sciences.
Models serve not just as scientific technology and infrastructure but also as digital containers …

Continuous integration (CI) is a well-established technique in commercial and open-source
software projects, although not routinely used in scientific publishing. In the scientific …