  Reproducibility, the ability to recompute results, and replicability, the
chances other experimenters will achieve a consistent result, are two
foundational characteristics of successful scientific research. Consistent
findings from independent investigators are the primary means by which
scientific evidence accumulates for or against an hypothesis. And yet, of late
there has been a crisis of confidence among researchers worried about the rate
at which studies are either reproducible or replicable. In order to maintain
the integrity of science research and maintain the public's trust in science,
the scientific community must ensure reproducibility and replicability by
engaging in a more preventative approach that greatly expands data analysis
education and routinely employs software tools.
