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005 20181022042052.0
008 110126s2010 dcu obt 100 0 eng d
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020 $a1282787500
020 $a9781282787506
020 $z80309154420
020 $z0309154421
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245 00 $aSteps toward large-scale data integration in the sciences :$bsummary of a workshop /$cScott Weidman and Thomas Arrison, rapporteurs ; Committee on Applied and Theoretical Statistics, Division on Engineering and Physical Sciences ; Policy and Global Affairs Division ; National Research Council of the National Academies.
260 $aWashington, D.C. :$bNational Academies Press,$c℗♭2010.
300 $a1 online resource (x, 48 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
500 $aTitle from PDF title page.
504 $aIncludes bibliographical references.
505 0 $aIntroduction -- The current state of data integration in science -- Improving current capabilities for data integration in science -- Success in data integration -- Workshop lessons.
520 $a"Steps Toward Large-Scale Data Integration in the Sciences summarizes a National Research Council (NRC) workshop to identify some of the major challenges that hinder large-scale data integration in the sciences and some of the technologies that could lead to solutions. The workshop was held August 19-20, 2009, in Washington, D.C. The workshop examined a collection of scientific research domains, with application experts explaining the issues in their disciplines and current best practices. This approach allowed the participants to gain insights about both commonalities and differences in the data integration challenges facing the various communities. In addition to hearing from research domain experts, the workshop also featured experts working on the cutting edge of techniques for handling data integration problems. This provided participants with insights on the current state of the art. The goals were to identify areas in which the emerging needs of research communities are not being addressed and to point to opportunities for addressing these needs through closer engagement between the affected communities and cutting-edge computer science."--Publisher's description.
536 $aThis study was supported by Contract Number N01-OD-4-2136 between the National Institutes of Health and the National Academy of Sciences, Grant Number 60NANB7D6126 from the National Institute of Standards and Technology, and Grant Number N0014-07-1-0557 from the Office of Naval Research.
546 $aEnglish.
650 0 $aScience$xData processing.
650 0 $aData libraries.
650 0 $aElectronic information resources$vUse studies.
650 7 $aSCIENCE$xLaboratory Techniques.$2bisacsh
650 7 $aSCIENCE$xMicroscopes & Microscopy.$2bisacsh
650 7 $aData libraries.$2fast$0(OCoLC)fst00887941
650 7 $aElectronic information resources.$2fast$0(OCoLC)fst00907295
650 7 $aScience$xData processing.$2fast$0(OCoLC)fst01108207
650 12 $aDatabases, Factual.
650 22 $aAutomatic Data Processing.
650 22 $aDatabase Management Systems.
650 22 $aInformation Storage and Retrieval$xmethods.
650 22 $aResearch Design.
655 4 $aElectronic books.
655 7 $aUse studies.$2fast$0(OCoLC)fst01423922
655 2 $aCongresses.
700 1 $aWeidman, Scott.
700 1 $aArrison, Thomas S.
710 2 $aNational Research Council (U.S.).$bCommittee on Applied and Theoretical Statistics.
710 2 $aNational Research Council (U.S.).$bPolicy and Global Affairs.
776 08 $iPrint version:$tSteps toward large-scale data integration in the sciences.$dWashington, D.C. : National Academies Press, ℗♭2010$z0309154421$w(DLC) 2011280469$w(OCoLC)651998093
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