Advanced Networking; Articles, Papers, and Reports; and High-Performance Computing

This ECAR research bulletin discusses the role cyberinfrastructure will play as higher education evolves. Changes in the job markets, in higher education research and teaching, and in emerging academic disciplines are having a direct impact on, and will be directly impacted by, information technologies. As high-level national councils acknowledge, higher education has an enormous stake in these crucial and sweeping changes.

Citation for this work: Dede, Chris. “Cyberinfrastructure and the Evolution of Higher Education” (Research Bulletin, Issue 18). Boulder, CO: EDUCAUSE Center for Applied Research, 2008, available from http://www.educause.edu/ecar.

Drawn from a recent ECAR research study, this article addresses the importance of five CI technologies to various academic areas in research and in teaching and learning at present and how survey respondents think the importance of these technologies might change in the near future.

This ECAR roadmap synthesizes the important issues and recommended actions drawn from the 2008 study, Higher Education IT and Cyberinfrastructure: Integrating Technologies for Scholarship , by Mark C. Sheehan. The ECAR research study explores higher education’s involvement in five areas of research-related information technologies: high-performance computing resources, cyberinfrastructure applications and tools, data storage and management resources, advanced network infrastructure resources, and resources for collaboration within virtual communities. The report, which is based on results of a quantitative survey of 369 U.S. and Canadian colleges and universities and consultation with cyberinfrastructure experts and 12 university executives and technical staff members, discusses who uses, who provides, and who funds cyberinfrastructure resources as well as how important each technology is and will be to research and teaching.

This research bulletin explores the advanced networking issues and investments that colleges and universities that aspire to support their faculty and students in leading edge research and education activities must face in the near future. It is drawn from the work of the Advanced Networking Services Work Group at the University of California, which was charged with evaluating the current state of UC’s networking infrastructure, identifying best practices in global networking activities, and making recommendations to position UC for competitive advantage. The author served as chair of the Work Group. 

Citation for this work: McCredie, Jack. “Advanced Network Services: Current Issues in Higher Education” (Research Bulletin, Issue 9). Boulder, CO: EDUCAUSE Center for Applied Research, 2008, available from http://www.educause.edu/ecar.

This 2008 ECAR research study explores higher education’s involvement in five areas of research-related information technologies: high-performance computing resources, cyberinfrastructure applications and tools, data storage and management resources, advanced network infrastructure resources, and resources for collaboration within virtual communities. The report, which is based on results of a quantitative survey of 369 U.S. and Canadian colleges and universities and consultation with cyberinfrastructure experts and 12 university executives and technical staff members, discusses who uses, who provides, and who funds cyberinfrastructure resources as well as how important each technology is and will be to research and teaching.

Citation for this work: Sheehan, Mark C. Higher Education IT and Cyberinfrastructure: Integrating Technologies for Scholarship (Research Study, Volume 3). Boulder, CO: EDUCAUSE Center for Applied Research, 2008, available from http://www.educause.edu/ecar.

This research bulletin explores how to develop, deploy, and extend cyberinfrastructure assets within higher education—both within and across institutions. As research becomes increasingly computational, data-intensive, and interdisciplinary, innovative approaches for functional cyberinfrastructure models become ever more important. This bulletin describes a model that was developed at one institution and then deployed across institutions, with the goal of addressing issues as diverse as the need for simulation systems rather than wet labs, insufficient computational research support to help an institution compete for top-notch faculty, and astronomical spikes in power and cooling demands.

Citation for this work: Alvarez, Rosio. “Developing and Extending a Cyberinfrastructure Model” (Research Bulletin, Issue 5). Boulder, CO: EDUCAUSE Center for Applied Research, 2008, available from http://www.educause.edu/ecar.

This ECAR research study was designed in collaboration with the Association of American Medical Colleges to analyze the practices and perspectives of IT organizations that support the academic research enterprise in medical schools and colleges. As the potential of biotechnology, proteomics, informatics, computational genomics, and other IT-intensive disciplines continue to offer breakthroughs in medicine, research in these fields requires greater and higher-level technology resources for infrastructure as well as IT support and services. The study is based on the results of a web-based survey sent to 125 medical schools and colleges in the United States, as well as qualitative interviews with leaders at 10 institutions. Respondents to the survey were predominantly chief information officers or other top administrators from 50 medical institutions, yielding a response rate of 39.7 percent. The findings contained in this report echo the results of the ECAR 2006 study, IT Engagement in Research: A Baseline Study, illustrating that the role and importance of IT in research is growing, while funding and budget decisions remain difficult.

This ECAR roadmap synthesizes the important issues and recommended actions drawn from the 2008 study, IT Engagement in Research: A View of Medical School Practice, by Mark R. Nelson. This ECAR research study was designed in collaboration with the Association of American Medical Colleges to analyze the practices and perspectives of IT organizations that support the academic research enterprise in medical schools and colleges. As the potential of biotechnology, proteomics, informatics, computational genomics, and other IT-intensive disciplines continue to offer breakthroughs in medicine, research in these fields requires greater and higher-level technology resources for infrastructure as well as IT support and services. The study is based on the results of a January 2007 web-based survey sent to 125 medical schools and colleges in the United States, as well as qualitative interviews with leaders at 10 institutions.

This ECAR research study was designed in collaboration with the Association of American Medical Colleges to analyze the practices and perspectives of IT organizations that support the academic research enterprise in medical schools and colleges. As the potential of biotechnology, proteomics, informatics, computational genomics, and other IT-intensive disciplines continue to offer breakthroughs in medicine, research in these fields requires greater and higher-level technology resources for infrastructure as well as IT support and services. The study is based on the results of a web-based survey sent to 125 medical schools and colleges in the United States, as well as qualitative interviews with leaders at 10 institutions. Respondents to the survey were predominantly chief information officers or other top administrators from 50 medical institutions, yielding a response rate of 39.7 percent. The findings contained in this report echo the results of the ECAR 2006 study, IT Engagement in Research: A Baseline Study, illustrating that the role and importance of IT in research is growing, while funding and budget decisions remain difficult.

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.