Scientists in a variety of disciplines (e.g., biology, ecology, astronomy) need access to scientific data and flexible means for executing complex analyses on those data. Such analyses can be captured as 'scientific workflows' in which the flow of data from one analytical step to another is captured in a formal workflow language. The Kepler project's overall goal is to produce an open-source scientific workflow system that allows scientists to design scientific workflows and execute them efficiently using emerging Grid-based approaches to distributed computation. Kepler is based on the Ptolemy II system for heterogeneous, concurrent modeling and design. Ptolemy II was developed by the members of the Ptolemy project at UC Berkeley. Although not originally intended for scientific workflows, it provides a mature platform for building and executing workflows, and supports multiple models of computation.
University of Minnesota Library process improvement report, etc.
Peggy Johnson wrote to Big Heads:
"Some of you have been interested in our process improvement project, Selection to Access (S2A), which led to changes in our operations beginning with selection, through the processes in TS and on to marking and shelving. Our final (I hope) report has been posted at http://wiki.lib.umn.edu/Staff/SelectionToAccessImplementation.
We are about to begin a second project, which we are calling S2A: The Sequel. It will focus on serials and government documents."