EDUCAUSE | Faculty and High-Performance Computing

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

ckeller — Tue, 15 Jan 2008 16:27:19 -0600

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.

IT Engagement in Research: A Baseline Study - Key Findings

drupal — Mon, 28 Aug 2006 09:50:47 -0500

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.

IT Engagement in Research: A Baseline Study Roadmap

drupal — Mon, 28 Aug 2006 09:42:15 -0500

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.

IT Engagement in Research: A Baseline Study

drupal — Fri, 25 Aug 2006 16:58:17 -0500

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.

Supporting Research Computing Through Collaboration at Princeton University

drupal — Tue, 23 May 2006 13:44:16 -0500

As a complement to ECAR's core study about IT Engagement in Research, this case study examines Princeton University's institutional research computational facility, which is developed and funded collaborative by its Office of Information Technology, university organizations, and individual faculty members. It explores the critical elements involved in creating a collaborative environment for research computation as well as the organizational structures that foster synergy between computational research and information technology infrastructure.