عنوان

Data provenance and data management in eScience

(Number (ISBN

364229930X

(Number (ISBN

3642299318

(Number (ISBN

9783642299308

(Number (ISBN

9783642299315

Number

b567418

Title Proper

Data provenance and data management in eScience

General Material Designation

[Book]

First Statement of Responsibility

Qing Liu [and others] (eds.).

Place of Publication, Distribution, etc.

Berlin ; New York

Name of Publisher, Distributor, etc.

Springer

Date of Publication, Distribution, etc.

©2013.

Series Title

Studies in computational intelligence, 426.

Text of Note

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.

Text of Note

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 "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.

Database Management Systems.

Database management.

Science -- Databases.

Class number

Book number

Qing Liu [and others] (eds.).

Qing Liu

Electronic name

[Book]

Y