Advanced Networking and IT Integration

CyberBridges trains graduate students how to use cyberinfrastructure (CI) -- a combination of computing systems, applications, and virtual organizations. Supported by NSF, CyberBridges hinges on the hypothesis that technical training of graduate students will not only lead to more rapid scientific discovery but will also trigger greater CI adoption in academic departments. Students are trained in networking and grid computing and then integrate what they have learned into their research to develop innovative tools or approaches. Due to the success of the initial program, CyberBridges has gone "global," involving students in China, Hong Kong, and Brazil.

This ECAR Key Findings explores the practices and perspectives of IT organizations that support the academic research enterprise. To collect, analyze, and distribute information across an expanding range academic disciplines and geographic locations, research efforts rely heavily on IT infrastructure, people, and a broad range of IT services. Ever-larger data sets are being collected and shared, simulations and visualization are becoming routine tools, and the co-evolution of science and computing increasingly requires scientists to have solid grounding in information management.

This ECAR Roadmap explores the practices and perspectives of IT organizations that support the academic research enterprise. To collect, analyze, and distribute information across an expanding range academic disciplines and geographic locations, research efforts rely heavily on IT infrastructure, people, and a broad range of IT services. Ever-larger data sets are being collected and shared, simulations and visualization are becoming routine tools, and the co-evolution of science and computing increasingly requires scientists to have solid grounding in information management.

This ECAR study explores the practices and perspectives of IT organizations that support the academic research enterprise. To collect, analyze, and distribute information across an expanding range academic disciplines and geographic locations, research efforts rely heavily on IT infrastructure, people, and a broad range of IT services. Ever-larger data sets are being collected and shared, simulations and visualization are becoming routine tools, and the co-evolution of science and computing increasingly requires scientists to have solid grounding in information management. This study reports the results of a variety of research initiatives: a literature review, quantitative and qualitative data from 328 higher education institutions (315 U.S. and 13 Canadian institutions), and five in-depth cases studies. In addition, ECAR published What Do Researchers Need? Higher Education IT from the Researcher's Perspective, to supplement this study.