Open Systems, Roadmaps, and Documents Contributed by ECAR

Recent resources tagged with Open Systems, Roadmaps, and Documents Contributed by ECAR.

IT Engagement in Research: A View of Medical School Practice Roadmap

Added by the EDUCAUSE Librarian
Title:IT Engagement in Research: A View of Medical School Practice Roadmap (ID: ECM0801)
Author(s):Bob Albrecht (EDUCAUSE) and Judith A. Pirani (EDUCAUSE)
Origin:Documents Contributed by ECAR, Roadmaps (01/23/2008)
Type:Articles, Papers, and Reports
Abstract:

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.

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IT Engagement in Research: A Baseline Study Roadmap

Added by the EDUCAUSE Librarian
Title:IT Engagement in Research: A Baseline Study Roadmap (ID: ECM0605)
Author(s):Gail Salaway (EDUCAUSE), Harvey Blustain, Sandra Braman (University of Wisconsin-Milwaukee), and Richard N. Katz (EDUCAUSE)
Origin:Documents Contributed by ECAR, Roadmaps (08/28/2006)
Type:Articles, Papers, and Reports
Abstract:

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.

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