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$4 million DIBBS grant awarded.

Tuesday, September 6, 2016

Congratulations to Rutgers faculty members Manish Parashar (PI), Clinton Andrews, Vijay Atluri, David Foran, Grace Agnew, Jie Gong, Lindy Ryan, Oscar Schofield, D Silver, Helen Berman, Koji Tanaka, Ryan Womack, Benedetto Piccoli, Thu D. Nguyen, Ivan Rodero, who together with colleagues at Penn State have been awarded a $4 million DIBBs grant for their project entitled “CIF21 DIBBs: EI: Virtual Data Collaboratory (VDC) — A Regional Cyberinfrastructure for Collaborative Data Intensive Science”

In addition to enabling researchers to advance research frontiers across multiple disciplines, VDC also focuses on (1) training the next generation of scientists with deep disciplinary expertise and a high degree of competence in leveraging data, cyberinfrastructure, and tools to address research problems and (2) helping data scientists and engineers develop and apply advanced federated data management and analysis tools for high impact scientific applications. To meet this mission, VDC extends beyond its collaborating institutions and leverages NSF investments to provide cyberinfrastructure typically not available to community colleges, state-associated colleges and universities, and regional liberal arts colleges and universities, and to stimulate intense user engagement and adoption by scientists across domains and institutions.

VDC represents state of the art data-intensive computing, storage, and networking solutions, integrated with an innovative data services layer. VDC is federated and coordinated across three geographically distributed Rutgers University campuses in New Jersey and multiple campuses in Pennsylvania and New York by a high-speed network, with the potential to incorporate academic/research institutions across the Mid-Atlantic and the nation. VDC builds on and integrates existing national/international and regional data repositories, including NSF-funded repositories, and leverages local/regional/national ACI investments. Central to the VDC vision are three infrastructural innovations, a regional science data science DMZ network that provides services to enable efficient and transparent access to data and computing capabilities, an expandable and scalable architecture for data-centric infrastructure federation, and a data services layer to support research workflows that utilize cutting-edge semantic web technologies, support interdisciplinary research, expand access, and increase the impact of data-science worldwide.