Abstract
For a few years now, segments of the research library community have been carefully tracking the emergence of e-science and exploring its implications for the future of research libraries. During 2007–2008, I had the opportunity to work with the Association of Research Libraries (ARL) and a task force looking at issues in e-science and library support for research in the sciences. I also had the opportunity to reflect on how these phenomena are the same or different in the health sciences arena. I will explore some of those ideas here. First, what is e-science, how is it likely to affect libraries, and how are libraries positioned to respond to it? What are the major e-science initiatives in the sciences and engineering and in biomedicine? And finally, how does it translate to the health sciences library context?
Highlights
For a few years segments of the research library community have been carefully tracking the emergence of e-science and exploring its implications for the future of research libraries
During 2007– 2008, I had the opportunity to work with the Association of Research Libraries (ARL) and a task force looking at issues in e-science and library support for research in the sciences
What is e-science, how is it likely to affect libraries, and how are libraries positioned to respond to it? What are the major e-science initiatives in the sciences and engineering and in biomedicine? And how does it translate to the health sciences library context?
Summary
For a few years segments of the research library community have been carefully tracking the emergence of e-science and exploring its implications for the future of research libraries. NSF’s vision for an infrastructure to support e-science contains four interdependent areas of investment: (1) high-performance computing; (2) data, data analysis, and visualization; (3) virtual organizations for distributed communities; and (4) learning and workforce development [3].
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