03473nam 2200601Ia 450 991079184260332120230124184446.00-309-15743-91-282-78750-097866127875080-309-15443-X(CKB)2560000000067376(SSID)ssj0000428850(PQKBManifestationID)11280456(PQKBTitleCode)TC0000428850(PQKBWorkID)10429632(PQKB)11704201(MiAaPQ)EBC3378648(Au-PeEL)EBL3378648(CaPaEBR)ebr10405113(CaONFJC)MIL278750(OCoLC)651998116(EXLCZ)99256000000006737620100803d2010 uy 0engurcn|||||||||txtccrSteps toward large-scale data integration in the sciences[electronic resource] summary of a workshop /Scott 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 AcademiesWashington, D.C. National Academies Pressc2010x, 48 pBibliographic Level Mode of Issuance: Monograph0-309-15442-1 Includes bibliographical references.Introduction -- The current state of data integration in science -- Improving current capabilities for data integration in science -- Success in data integration -- Workshop lessons."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.ScienceData processingData librariesElectronic information resourcesUse studiesScienceData processing.Data libraries.Electronic information resourcesWeidman Scott1476480Arrison Thomas S1476481National Research Council (U.S.).Committee on Applied and Theoretical Statistics.MiAaPQMiAaPQMiAaPQBOOK9910791842603321Steps toward large-scale data integration in the sciences3691163UNINA