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Briefing to ARL Membership
The NSF Office of Cyberinfrastructure Initiatives with Research Libraries Briefing to ARL Membership October 19, 2006
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Context for E-Science Task Force
Computationally-intensive, data-rich environment Evolving cyberinfrastructure for science (collaborative, computation-intensive, data-driven) Growing imperative for models to support, manage and preserve data Challenge of integrated knowledge environment
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New paradigms for library engagement
Multi-institutional, international, collaborative context Data roles: management, preservation, curation Well-integrated, sustainable models of support for research process
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ARL E-Science Task Force Charge
Informing, educating membership Publications, highlighting models for positions/projects, policy landscape Understanding needs, experiences of researchers Explicating the research process, documenting desired relationships between components Understanding disciplinary differences, cultures Curation of long-lived digital data Infrastructure, repository development, data models, metadata, tools
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ARL E-Science Task Force Charge
Developing new roles for research libraries Collaboration models, position models Cooperation with “information” programs Identify skills for information professionals Workshops for science library leaders, library technologists Also: Research agenda: behaviors, infrastructure, tool development
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Data Workshop Goals sustainable economic models
structure of new partnerships infrastructure requirements
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Framing Questions What are the most important challenges that must be met to create a reliable framework for preservation and access to digital data? What are the critical steps necessary to meet those challenges? What are the roles of each of the various sectors What resources (funds, people, expertise, infrastructure, etc) are needed to take those steps? What new technologies and new research are needed to take those steps? What benefits would accrue from meeting the challenges and what are the costs of failure?
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