Software Framework for Intergrative Archival and Maintenance of Large Scale Data

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-FG02-06ER86270
Agency Tracking Number: 80224B06-I
Amount: $100,000.00
Phase: Phase I
Program: STTR
Awards Year: 2006
Solicitation Year: 2006
Solicitation Topic Code: 46
Solicitation Number: DE-FG01-05ER05-28
Small Business Information
37 Max Felix Drive, Storrs, CT, 06268
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: Y
Principal Investigator
 Ravi Nori
 (860) 428-5109
Business Contact
 Eunice Lee
Title: Ms.
Phone: (860) 429-6581
Research Institution
 University of Connecticut
 Carol Welt
 2152 Hillside Road
Storrs, CT, 06269
 (860) 486-8704
 Nonprofit college or university
The preservation of experimental data gathered by the nuclear physics community is being compromised by the dramatic increase in the rate of data generation. Physicists need to be able to easily archive the data, along with its experimental context and their current analysis procedures, in order to prepare for future breakthroughs in analysis technology and/or potential changes of the group performing the analysis. This project will develop a convenient, ¿visual¿-data-flow archival framework that nuclear physicists can use to annotate the context of the data and encapsulate numerous related items into a cohesive XML (extensible markup language) document. (XML-based archival is the best currently-available strategy, offering higher survivability over the data storage and management technology evolution.) Phase I will add archiving features to an existing visual-data-flow management framework. Then, the framework will be deployed to test the feasibility of using it for archiving on-going collaborative research projects involving nuclear physicists from multiple organizations. Finally, the framework's capability to support remote and distributed operation over the Internet will be evaluated. Commercial Applications And Other Benefits as described by the Applicant: The software framework should be useful not only in physics but also in many other data and computationally intensive areas, such as computational biology, chemistry, engineering, finance, seismic processing, climate modeling, astronomy, and simulation. In addition, the intelligence and homeland security branches of the federal government also should benefit, as they need to archive large amount of surveillance data and preserve their analysis for a prolonged period of time.

* Information listed above is at the time of submission. *

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