Data Infrastructure Building Blocks
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Data Infrastructure Building Blocks
Data Infrastructure Building Blocks (DIBBs) is a U.S. National Science Foundation program. On April 27, 2012, the U.S. National Science Foundation Office of Cyberinfrastructure announced a request for proposals with the name "Data Infrastructure Building Blocks (DIBBs)". The solicitationNSF 12-557 "incorporated some but not all of the goals of the former DataNet DataNet, or Sustainable Digital Data Preservation and Access Network Partner, was a research program of the U.S. National Science Foundation Office of Cyberinfrastructure. The office announced a request for proposals with this title on September ... anInterOpprograms." Description DIBBs is part of NSF's vision for Cyberinfrastructure Framework for 21st Century Science(CIF21). The introduction in this solicitation states: NSF's Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) investment focuses on the interconnected cyberinfrastructure components necessary to realize the research potential ...
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National Science Foundation
The U.S. National Science Foundation (NSF) is an Independent agencies of the United States government#Examples of independent agencies, independent agency of the Federal government of the United States, United States federal government that supports fundamental research and education in all the non-medical fields of science and engineering. Its medical counterpart is the National Institutes of Health. With an annual budget of about $9.9 billion (fiscal year 2023), the NSF funds approximately 25% of all federally supported basic research conducted by the List of American institutions of higher education, United States' colleges and universities. In some fields, such as mathematics, computer science, economics, and the social sciences, the NSF is the major source of federal backing. NSF's director and deputy director are appointed by the president of the United States and Advice and consent, confirmed by the United States Senate, whereas the 24 president-appointed members of the ...
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Datanet
DataNet, or Sustainable Digital Data Preservation and Access Network Partner, was a research program of the U.S. National Science Foundation Office of Cyberinfrastructure. The office announced a request for proposals with this title on September 28, 2007. The lead paragraph of its synopsis describes the program as: Science and engineering research and education are increasingly digital and increasingly data-intensive. Digital data are not only the output of research but provide input to new hypotheses, enabling new scientific insights and driving innovation. Therein lies one of the major challenges of this scientific generation: how to develop the new methods, management structures and technologies to manage the diversity, size, and complexity of current and future data sets and data streams. This solicitation addresses that challenge by creating a set of exemplar national and global data research infrastructure organizations (dubbed DataNet Partners) that provide unique oppor ...
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NCSA Brown Dog
NCSA Brown Dog is a research project to develop a method for easily accessing historic research data stored in order to maintain the long-term viability of large bodies of scientific research. It is supported by the National Center for Supercomputing Applications (NCSA) that is funded by the National Science Foundation (NSF). History Brown Dog is part of the DataNet partners program funded by NSF in 2008. DataNet was conceived to address the increasingly digital and data-intensive nature of science, engineering and education. Brown Dog is part of a follow-on effort called Data Infrastructure Building Blocks (DIBBs), focused on building software to support DataNet. The project was proposed by researchers at NCSA and the University of Illinois Urbana-Champaign as well as researchers from Boston University and the University of North Carolina at Chapel Hill. Unstructured, uncurated, long tail data Much scientific data is smaller, unstructured and uncurated and thus not easily shared ...
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