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Long-lived Digital Data Collections: Enabling Research and Education in the 21 st Century. The National Science Board. LLDDC Report –Timeline. Feb. 2004: LLDC task force formally approved Sep. 2004: Draft report completed
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Long-lived Digital Data Collections:Enabling Research and Educationin the 21st Century The National Science Board
LLDDC Report –Timeline • Feb. 2004: LLDC task force formally approved • Sep. 2004: Draft report completed • Oct. 2004: Report accepted by NSB Committee on Programs and Plans • Jan. 2005: Comments received from NSF senior management • March 30 – May 1, 2005: Available for public comment
Draft LLDDC Report: Goals • Provide a framework for analysis; serve as a starting point for discussions with the community and with other agencies (both national and international) • Identify the major policy issues for consideration by NSF and the community
Framework for Analysis 1. Policy should be informed by a clear vision of the needs and responsibilities of the participants in the “data collections universe” Data Managers Supporting Agencies Data Users Data Authors
Framework for Analysis 2. The phrase “data collections” refers to a dynamic, heterogeneous community system • Research Collections: Project level • Resource Collections: Community level • Reference Collections: Global Informed policy should recognize and build on the existing structure of the DC universe
Recommendations 1. The NSF should clarify its current investments in resource and reference digital data collections and describe the processes that are, or could be, used to relate investments in collections across the Foundation to the corresponding investments in research and education that utilize the collections.
Recommendations • The NSF should develop an agency-wide umbrella strategy for supporting and advancing long-lived digital data collections. The strategy must meet two goals: • Provide an effective framework for planning and management • Fully support the appropriate diversity of needs and practices
Recommendations • The NSF should evaluate how responsibility for community–proxy functions is acquired and implemented by data managers and how these activities are supported.
Recommendations • The NSF should require that research proposals for activities that will generate digital data, especially long-lived data, should state such intentions in the proposal so that peer reviewers can evaluate a proposed data management plan.
Recommendations • The NSF should ensure that education and training in the use of digital collections are available and effectively delivered to broaden participation in digitally enabled research.
Recommendations • The NSF, working in partnership with collection managers and the community at large, should act to develop and mature the career path for data scientists and to ensure that the research enterprise includes a sufficient number of high-quality data scientists.
WWW.NSF.GOV/NSB The draft report is available online at: