Striving for Reproducible Science

Reproducible science.

The reproducibility of an experimental result is a fundamental assumption in science. Yet, results that are merely confirmatory of previous findings are given low priority and can be difficult to publish. Furthermore, the complex and chaotic nature of biological systems imposes limitations on the replicability of scientific experiments. This essay explores the importance and limits of reproduci...

Reproducible Research for Computing in Science & Engineering

Enabling Reproducible Science with VisTrails

With the increasing amount of data and use of computation in science, software has become an important component in many different domains. Computing is now being used more often and in more aspects of scientific work including data acquisition, simulation, analysis, and visualization. To ensure reproducibility, it is important to capture the different computational processes used as well as th...

Open science and reproducible research.

“Scientists should communicate the data they collect and the models they create, to allow free and open access, and in ways that are intelligible, assessable and usable for other specialists . . . Where data justify it, scientists should make them available in an appropriate data repository.” So said the Royal Society last week, in its report Science as an Open Enterprise: Open Data for Open Sc...

Reproducible research in computational science.

Computational science has led to exciting new developments, but the nature of the work has exposed limitations in our ability to evaluate published findings. Reproducibility has the potential to serve as a minimum standard for judging scientific claims when full independent replication of a study is not possible.