The Digging into Data MIRACLE prototype is slated for re-development as CoMSES Net builds new cyberinfrastructure to support open and reproducible scientific computation.
The goals and principles of the MIRACLE prototype are outlined in the following paper:
Xiongbing Jin, Kirsten Robinson, Allen Lee, J. Gary Polhill, Calvin Pritchard, Dawn C. Parker, A prototype cloud-based reproducible data analysis and visualization platform for outputs of agent-based models, Environmental Modelling & Software, Volume 96, 2017, Pages 172-180, ISSN 1364-8152, http://dx.doi.org/10.1016/j.envsoft.2017.06.010. (http://www.sciencedirect.com/science/article/pii/S1364815216310428)
Keywords: Reproducibility; Agent-based models; Big data
A screencast of the now defunct MIRACLE prototype application in action is also available:

CoMSES Net, the Network for Computational Modeling in Social and Ecological Sciences, joins the NSF West Big Data Innovation Hub as a spoke in NSF's new national Big Data network. CoMSES Net is dedicated to fostering open and reproducible scientific computation through cyberinfrastructure and community development.

To learn more about CoMSES Net and support these efforts, visit us at www.openabm.org where you can become a member of the CoMSES Network and publish your computational models in the library. You can find us on Twitter at @comses or follow our open source software development at github.com/comses.