LEADER 03473nam 2200601Ia 450 001 9910791842603321 005 20230124184446.0 010 $a0-309-15743-9 010 $a1-282-78750-0 010 $a9786612787508 010 $a0-309-15443-X 035 $a(CKB)2560000000067376 035 $a(SSID)ssj0000428850 035 $a(PQKBManifestationID)11280456 035 $a(PQKBTitleCode)TC0000428850 035 $a(PQKBWorkID)10429632 035 $a(PQKB)11704201 035 $a(MiAaPQ)EBC3378648 035 $a(Au-PeEL)EBL3378648 035 $a(CaPaEBR)ebr10405113 035 $a(CaONFJC)MIL278750 035 $a(OCoLC)651998116 035 $a(EXLCZ)992560000000067376 100 $a20100803d2010 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aSteps toward large-scale data integration in the sciences$b[electronic resource] $esummary of a workshop /$fScott Weidman and Thomas Arrison ; Committee on Applied and Theoretical Statistics ; Division on Engineering and Physical Sciences ; Policy and Global Affairs Division ; National Research Council of the National Academies 210 $aWashington, D.C. $cNational Academies Press$dc2010 215 $ax, 48 p 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-309-15442-1 320 $aIncludes bibliographical references. 327 $aIntroduction -- The current state of data integration in science -- Improving current capabilities for data integration in science -- Success in data integration -- Workshop lessons. 330 $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. 606 $aScience$xData processing 606 $aData libraries 606 $aElectronic information resources$vUse studies 615 0$aScience$xData processing. 615 0$aData libraries. 615 0$aElectronic information resources 701 $aWeidman$b Scott$01476480 701 $aArrison$b Thomas S$01476481 712 02$aNational Research Council (U.S.).$bCommittee on Applied and Theoretical Statistics. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910791842603321 996 $aSteps toward large-scale data integration in the sciences$93691163 997 $aUNINA