Reproducible Research for Computing in Science & Engineering

Reproducible Research for Computing in Science & Engineering

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.

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...

ITK: enabling reproducible research and open science

Reproducibility verification is essential to the practice of the scientific method. Researchers report their findings, which are strengthened as other independent groups in the scientific community share similar outcomes. In the many scientific fields where software has become a fundamental tool for capturing and analyzing data, this requirement of reproducibility implies that reliable and comp...

Ubiquitous Computing in Science and Engineering Research Laboratories: A case study from biomedical engineering

This paper addresses the ubiquitous nature of computing in contemporary science and engineering research laboratories. We describe three kinds of ubiquitous computing possibilities for bioscience and engineering: historically evolved ubiquitous computing, ubiquitous computing by design, and in silico biology. Using a combination of ethnography and cognitive-historical analysis, our observations...