000 03424nam a22005055i 4500
001 978-3-642-29931-5
003 DE-He213
005 20200420221259.0
007 cr nn 008mamaa
008 120803s2013 gw | s |||| 0|eng d
020 _a9783642299315
_9978-3-642-29931-5
024 7 _a10.1007/978-3-642-29931-5
_2doi
050 4 _aTA1-2040
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
082 0 4 _a620
_223
245 1 0 _aData Provenance and Data Management in eScience
_h[electronic resource] /
_cedited by Qing Liu, Quan Bai, Stephen Giugni, Darrell Williamson, John Taylor.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXII, 184 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v426
505 0 _aProvenance Model for Randomized Controlled Trials -- Evaluating Workflow Trust Using Hidden Markov Modeling and Provenance Data -- Unmanaged Workflows: Their Provenance and Use -- Sketching Distributed Data Provenance -- A Mobile Cloud with Trusted Data Provenance Services for Bioinformatics Research -- Data Provenance and Management in Radio Astronomy: A Stream Computing Approach -- Using Provenance to Support Good Laboratory Practice in Grid Environments.
520 _aeScience allows scientific research to be carried out in highly distributed environments. The complex nature of the interactions in an eScience infrastructure, which often involves a range of instruments, data, models, applications, people and computational facilities, suggests there is a need for data provenance and data management (DPDM). The W3C Provenance Working Group defines the provenance of a resource as a "record that describes entities and processes involved in producing and delivering or otherwise influencing that resource". It has been widely recognised that provenance is a critical issue to enable sharing, trust, authentication and reproducibility of eScience process.   Data Provenance and Data Management in eScience identifies the gaps between DPDM foundations and their practice within eScience domains including clinical trials, bioinformatics and radio astronomy. The book covers important aspects of fundamental research in DPDM including provenance representation and querying. It also explores topics that go beyond the fundamentals including applications. This book is a unique reference for DPDM with broad appeal to anyone interested in the practical issues of DPDM in eScience domains.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aEngineering, general.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aLiu, Qing.
_eeditor.
700 1 _aBai, Quan.
_eeditor.
700 1 _aGiugni, Stephen.
_eeditor.
700 1 _aWilliamson, Darrell.
_eeditor.
700 1 _aTaylor, John.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642299308
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v426
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-29931-5
912 _aZDB-2-ENG
942 _cEBK
999 _c53067
_d53067