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5 Toward a Comprehensive Assessment of Federal Research and Development Investment
Pages 61-68

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From page 61...
... . Many of these needs require bringing together federal funding information from across the federal government, as is now the task of the federal funds and federal support surveys.
From page 62...
... To further develop the vision of a new science of science policy, which was originally articulated by John H Marburger III, the former director of the Office of Science and Technology Policy and presidential science adviser, the National Science and Technology Council Interagency Task Group developed "The Science of Science Policy: A Federal Research Roadmap" (National Science and Technology Council and Office of Science and Technology Policy, 2008)
From page 63...
... , which is based on standards developed by the World Wide Web Consortium (W3C)
From page 64...
... 7 shows the power of exposing, sharing, and connecting data via dereferenceable uniform resource identifiers (URIs) on the web.8 Data sets federated via LOD vary from Wikipedia data (DBPedia, wikicompany)
From page 65...
... Census Data, GovTrack, Eurostat, and the World Factbook. Other existing data sets, such as SRS funding data, the www.data.gov, and the www.USAspending.gov files, have already been or could be easily converted into RDF format and interlinked to other LOD data sets via RDF links, improving the coverage and utility of the data for analysis of R&D investments.
From page 66...
... The COS Scholar Universe has access to information on more than 2 million researchers in over 200 disciplines and 9 countries. The information about scholars is linked to their publications in other databases.10 An international example is the free admission Lattes Database compiled and served by the National Council for Scientific and Technological Development in Brazil.11 The site provides access to around 1,100,000 researcher curricula and about 4,000 institutions in Brazil, including education, business, nonprofit private, and government organizations.
From page 67...
... Using Latent Dirichlet Allocation by Blei, Ng, and Jordan (2003) , a topic model then computes and outputs two probability matrices: "awards × topics" and "unique words × topics." The topic model has been successfully applied to all 2007 NIH awards and to data sets as large as Medline (about 18 million papers)
From page 68...
... The link between computer science and mathematics completes the circle. If the lowest weighted edges are pruned from this consensus circular map, the result is a hierarchical map stretching from mathematics to social sciences.


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