Collaboration; Open Source; Articles, Papers, and Reports; and High-Performance Computing

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.

Citation for this work: Albrecht, Bob, and Judith A. Pirani. "IT Engagement in Research: A View of Medical School Practice Roadmap" (Roadmap). Boulder, CO: EDUCAUSE Center for Applied Research, 2005, available from http://www.educause.edu/ecar.

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.

This case study depicts the formation, characteristics, and organizational success factors of Georgetown University's Advanced Research Computing (ARC) division. In collaboration with university researchers, ARC provides a range of services from computational support to multi-layered, multi-institutional support for research. A companion to ECAR's 2006 research study, IT Engagement in Research: A Baseline Study, this case study describes how Georgetown created a unique, collaborative, shared-cost IT division specifically for university researchers that now provides a secure environment for computational equipment and increases Georgetown's grant and fundraising competitiveness.

In higher education, team-based, collaborative research activities, call for new modalities and methods of investigation. Calit2 is responding to this challenge by creating a next-generation research environment that includes a range of technical and nontechnical systems to foster large-scale, multidisciplinary collaborations in innovative ways. This case study explores the breadth and depth of this extensive initiative, including how Calit2 is experimenting with multiple technological methodologies to support locally based, distributed, and virtual research collaborations.