VisTrails is an open-source scientific workflow and provenance management system hosted at NYU-Poly that provides support for data exploration and visualization. A key distinguishing feature of VisTrails is a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the workflows that derive these products and their executions.
crowdLabs is a social visualization repository for the scientific workflow management system VisTrails. It adopts the model used by social Web sites and that integrates a set of usable tools and a scalable infrastructure to provide an environment for scientists to collaboratively analyze and visualize data.
UV-CDAT: Analyzing Climate Datasets from a User's Perspective, E. Santos, J. Poco, Y. Wei, S. Liu, B. Cook, D. N. Williams and C. Silva, Computing in Science & Engineering , vol.15, no.1, pp.94-103, Jan.-Feb. 2013.
Designing a Provenance-Based Climate Data Analysis Application, E. Santos, D. Koop, T. Maxwell, C. Doutriaux, T. Ellqvist, G. Potter, J. Freire, D. N. Williams and C. Silva, In Proceedings of 4th International Provenance and Annotation Workshop, 2012.
The ALPS project release 2.0: open source software for strongly correlated systems, B. Bauer, L. D. Carr, H. G. Evertz, A. Feiguin, J. Freire, S. Fuchs, L. Gamper, J. Gukelberger, E. Gull, S. Guertler, A. Hehn, R. Igarashi, S. V. Isakov, D. Koop, P. N. Ma, P. Mates, H. Matsuo, O. Parcollet, G. Pawłowski, J. D. Picon, L. Pollet, E. Santos, V. W. Scarola, U. Schollwöck, C. Silva, B. Surer, S. Todo, S. Trebst, M. Troyer, M. L. Wall, P. Werner and S. Wessel, Journal of Statistical Mechanics, v. 2011, p. P05001, 2011.
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