Reproducible Computational Science: Difference between revisions
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Revision as of 21:09, March 13, 2017
Computational science has enable significant breakthroughs in science and engineering but, a number of factors make this work dificulty to reproduce. Reproducibility is a foundation of the scientific method so we must to redouble our efforts to make this work easy to reproduce.
Papers
Events
| Date | Event | Location |
|---|---|---|
| March 8-10th, 2017 | National Academy of Sciences Sackler Colloquium Reproducibility of Research: Issues and Proposed Remedies | Washington D.C |
| February 25 – 26, 2017 | Platform SuperCluster Workshop | Beckman Center of the National Academies of Sciences & Engineering University of California at Irvine
|
Tools
- Project Jupyter
- binder
- everware
- Occam
- Popper Project
- Taverna Workflow Management System
- myExperiment with a good example of use here
- OnlineHPC
- Kepler Project
- VisTrails
- Madagascar
- EasyBuilder
- Spack
- Shifter