Murphy Christian author Columbia University. Computer Science Sheth Swapneel Kalpesh author Columbia University. Computer Science Kaiser Gail E. author Columbia University. Computer Science Wilcox Lauren author Columbia University. Computer Science Columbia University. Computer Science originator contributor text Technical reports New York Department of Computer Science, Columbia University 2008 Many collaborative applications, especially in scientific research, focus only on the sharing of tools or the sharing of data. We seek to introduce an approach to scientific collaboration that is based on knowledge sharing. We do this by automatically building organizational memory and enabling knowledge sharing by observing what users do with a particular tool or set of tools in the domain, through the addition of activity and usage monitoring facilities to standalone applications. Once this knowledge has been gathered, we apply social networking models to provide collaborative features to users, such as suggestions on tools to use, and automatically-generated sequences of actions based on past usage amongst the members of a social network or the entire community. In this work, we investigate social networking models as an approach to scientific knowledge sharing, and present an implementation called genSpace, which is built as an extension to the geWorkbench platform for computational biologists. Last, we discuss the approach from the viewpoint of social software engineering. Computer science CUCS-032-08 http://hdl.handle.net/10022/AC:P:29589 English NNC NNC 2011-04-26 12:18:51 -0400 2012-04-13 11:29:30 -0400 3952 eng