Open science – towards reproducible research

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...

Open Science and Reproducible Research on Distributed Systems

Distributed systems such as grids, clusters, peer-to-peer systems, high-performance supercomputers, cloud computing infrastructures or desktop computing environments, benefit of an ever increasing popularity nowadays. Distributed applications (such as decentralized data sharing solutions, games, scientific application, high-traffic web applications or scientific computations) are executed routi...

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.

Reproducible Research for Computing in Science & Engineering