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Software Framework for Intergrative Archival and Maintenance of Large Scale Data

Award Information

Department of Energy
Award ID:
Program Year/Program:
2006 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
CyberConnect EZ, LLC
37 Max Felix Dr. Storrs, CT -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2006
Title: Software Framework for Intergrative Archival and Maintenance of Large Scale Data
Agency: DOE
Contract: DE-FG02-06ER86270
Award Amount: $100,000.00


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.

Principal Investigator:

Ravi Nori

Business Contact:

Eunice Lee
Small Business Information at Submission:

Cyberconnnect Ez, LLC
37 Max Felix Drive Storrs, CT 06268

EIN/Tax ID: 061460939
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
University of Connecticut
2152 Hillside Road
Storrs, CT 06269
Contact: Carol Welt
Contact Phone: (860) 486-8704
RI Type: Nonprofit college or university