Data Provenance and Data Management in eScience: 426 (Studies in Computational Intelligence) - Tapa blanda

 
9783642441585: Data Provenance and Data Management in eScience: 426 (Studies in Computational Intelligence)
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ISBN 10: 3642441580 ISBN 13: 9783642441585
Editorial: Springer, 2014

Sinopsis

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, application, 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.

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De la contraportada

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.

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Editorial
Springer
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3642441580
ISBN 13 
9783642441585
Encuadernación
Tapa blanda
Número de páginas
196
Editor
Liu Qing, Bai Quan, Giugni Stephen, Williamson Darrell, Taylor John
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9783642299308: Data Provenance and Data Management in eScience: 426 (Studies in Computational Intelligence, 426)

Edición Destacada

ISBN 10:  364229930X ISBN 13:  9783642299308
Editorial: Springer, 2012
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