Open source scientific workflow system

A scalable scientific workflow system you can install on your own cloud.

DataWolf is a scientific workflow system designed to be an integral part of a cyberinfrastructure software system with the goal of reducing the time to and from discovery. In a typical research lifecycle, theoretical hypotheses are formulated, experiments are conducted, and publications are delivered. As part of the research lifecycle, one has to follow the publication trail, re-implement software and repeat experiments, customize experiments according to more general hypotheses, and deliver new publications about new discoveries. Reusing results, tools, and insights from one research project to the next is an integral part of scientific research. Currently, this process can be very time and resource consuming, as well as sometimes intractable. Our objective is to reduce the amount of time and resources needed to conduct new science and introduce tractability of research results. This objective is achieved by integrating computationally driven experiments (Data Wolf) with custom delivery of experimental results (publishing results to the web) via published workflows that can be ran as small web applications or as part of a larger web application. Data Wolf simplifies the integration of data and modeling tools to support research and enable cross disciplinary integration to produce targeted outputs that address particular engineering and educational needs. Thus, the impact of such a technological integration and development of new features lies in the fact that multiple results from research lifecycles become immediately available for interactive explorations (web publishing), linked to the experimental settings and codes (scientific workflows) and retrievable for further studies from content repositories (information sharing).