MARC Record from Library of Congress

LEADER: 02390nam a22003017a 4500
001 2011280469
003 DLC
005 20110826133455.0
008 110215s2010 dcu b 000 0 eng d
010 $a 2011280469
020 $a0309154421
020 $a9780309154420
035 $a(OCoLC)ocn651998093
040 $aNRC$cNRC$dIXA$dUBY$dCDX$dDLC
042 $alccopycat
050 00 $aQ183.9$b.S86 2010
245 00 $aSteps toward large-scale data integration in the sciences :$bsummary of a workshop /$cScott Weidman and Thomas Arrison.
260 $aWashington, D.C. :$bNational Academies Press,$cc2010.
300 $ax, 48 p. ;$c23 cm.
504 $aIncludes bibliographical references (p. 38-39).
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.
650 0 $aScience$xData processing.
650 0 $aData libraries.
650 0 $aElectronic information resources$vUse studies.
700 1 $aWeidman, Scott.
700 1 $aArrison, Thomas S.
710 2 $aNational Research Council (U.S.).$bCommittee on Applied and Theoretical Statistics.