Open Systems

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.

While “open” normally has connotations of public goods, the idea of “open”–ness has been used for decades as a competitive strategy by firms in the computers and communications industries. Phrases like “open standard,” “open source” and more recently “open innovation” have been used to refer to these strategies.

What do they have in common? Which ones really are “open”? What does “open” mean, anyway?

The author discusses the issues faced in the creation and adoption of cyberinfrastructure, contrasting firm strategies for three types of “open”–ness in the context of their respective business models.

The international e-Framework for Education and Research is helping the research and education world take advantage of the opportunities offered by the service-oriented approach.

The author discusses the use of open source in the context of advancing learning in both secondary and higher education.

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.