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Data provenance and data management in eScience

Author: Qing Liu; et al
Publisher: Berlin ; New York : Springer, ©2013.
Series: Studies in computational intelligence, 426.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
EScience 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  Read more...
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Genre/Form: Electronic books
Databases
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Qing Liu; et al
ISBN: 9783642299315 3642299318 364229930X 9783642299308
OCLC Number: 805947540
Description: 1 online resource.
Contents: Provenance Model for Randomized Controlled Trials / Vasa Curcin, Roxana Danger, Wolfgang Kuchinke, Simon Miles and Adel Taweel, et al. --
Evaluating Workflow Trust Using Hidden Markov Modeling and Provenance Data / Mahsa Naseri and Simone A. Ludwig --
Unmanaged Workflows: Their Provenance and Use / Mehmet S. Aktas, Beth Plale, David Leake and Nirmal K. Mukhi --
Sketching Distributed Data Provenance / Tanu Malik, Ashish Gehani, Dawood Tariq and Fareed Zaffar --
A Mobile Cloud with Trusted Data Provenance Services for Bioinformatics Research / Jinhui Yao, Jingyu Zhang, Shiping Chen, Chen Wang and David Levy, et al. --
Data Provenance and Management in Radio Astronomy: A Stream Computing Approach / Mahmoud S. Mahmoud, Andrew Ensor, Alain Biem, Bruce Elmegreen and Sergei Gulyaev --
Using Provenance to Support Good Laboratory Practice in Grid Environments / Miriam Ney, Guy K. Kloss and Andreas Schreiber.
Series Title: Studies in computational intelligence, 426.
Responsibility: Qing Liu...[et al.] (eds.).

Abstract:

The highly distributed scientific research enabled by 'escience' features complex interactions in its infrastructure and thus needs strong data provenance and management systems. This book explains  Read more...

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From the reviews: "This book, a compilation of independent chapters, reflects the research work of several groups in the field of data provenance and data management for eScience. ... the book will Read more...

 
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