TY - JOUR
T1 - Modeler's Workspace
T2 - A distributed digital library for neuroscience
AU - Forss, Jenny
AU - Beeman, David
AU - Bower, James M.
AU - Eichler West, Rogene M.
N1 - Funding Information:
Over the last several years we have been exploring the use of models as a means of organizing both experimental investigations, and the data they generate [2–5] . This effort includes an attempt to understand within a rigorous statistical (Baysian) framework the relationships between models and data, as well as the data driven evolution of models themselves [6] . With support from the federally funded Human Brain Project ( http://WWW-HBP.scripps.edu/Home.html ), we have developed software tools to allow an existing neural simulation system, GENESIS ( http://www.bbb.caltech.edu/GENESIS/ ), to provide a foundation for a general digital library for neuroscience. Models are of course a means to link data to function. However, in the process, models, especially those that are structurally and physiologically realistic, also serve in effect to organize and validate experimental data as well as direct the acquisition of additional data. We also believe that this database approach provides interesting solutions to traditional database limitations with respect to verifying the accuracy of stored data, data compression, and promoting participation in development and use of the database.
PY - 1999/11
Y1 - 1999/11
N2 - The amount of available data in the neuroscience community is growing rapidly, and is approaching the point where researchers can no longer keep up. This paper describes the development of the Modeler's Workspace, a digital library system we are building to improve the researcher's means of accessing, managing and sharing neuroscience data. The Workspace consists of a distributed system of heterogeneous databases, and a Java front-end for data mining and visualization. A three-tier architecture with CORBA as the middleware facilitates database federation. We discuss our design choices, and some sociological issues, such as how to encourage data submission and ensure security and quality control.
AB - The amount of available data in the neuroscience community is growing rapidly, and is approaching the point where researchers can no longer keep up. This paper describes the development of the Modeler's Workspace, a digital library system we are building to improve the researcher's means of accessing, managing and sharing neuroscience data. The Workspace consists of a distributed system of heterogeneous databases, and a Java front-end for data mining and visualization. A three-tier architecture with CORBA as the middleware facilitates database federation. We discuss our design choices, and some sociological issues, such as how to encourage data submission and ensure security and quality control.
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U2 - 10.1016/S0167-739X(99)00040-0
DO - 10.1016/S0167-739X(99)00040-0
M3 - Article
AN - SCOPUS:0033349975
VL - 16
SP - 111
EP - 121
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
SN - 0167-739X
IS - 1
ER -