Physics – Data Analysis – Statistics and Probability
Scientific paper
2004-10-22
Int.J.Mod.Phys. A20 (2005) 3889-3892
Physics
Data Analysis, Statistics and Probability
4 pages, presented at the Meeting of the Division of Particles and Fields of the APS, Riverside, USA, August 2004
Scientific paper
10.1142/S0217751X05027904
A key feature of collaboration in science and software development is to have a {\em log} of what and how is being done - for private use and reuse and for sharing selected parts with collaborators, which most often today are distributed geographically on an ever larger scale. Even better if this log is {\em automatic}, created on the fly while a scientist or software developer is working in a habitual way, without the need for extra efforts. The {\tt CAVES} and {\tt CODESH} projects address this problem in a novel way, building on the concepts of {\em virtual state} and {\em virtual transition} to provide an automatic persistent logbook for sessions of data analysis or software development in a collaborating group. A repository of sessions can be configured dynamically to record and make available the knowledge accumulated in the course of a scientific or software endeavor. Access can be controlled to define logbooks of private sessions and sessions shared within or between collaborating groups.
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