Skip to content
Data Provenance and Data Management in eScience - Studies in Computational Intelligence 426 (Hardback)
  • Data Provenance and Data Management in eScience - Studies in Computational Intelligence 426 (Hardback)
zoom

Data Provenance and Data Management in eScience - Studies in Computational Intelligence 426 (Hardback)

(editor), (editor), (editor), (editor), (editor)
£89.99
Hardback 184 Pages
Published: 04/08/2012
Free UK delivery on orders over £25
  • We can order this from the publisher

Usually dispatched within 3 weeks

Free UK delivery on orders over £25
  • This item has been added to your basket

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.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783642299308
Number of pages: 184
Dimensions: 235 x 155 mm
Edition: 2013 ed.


MEDIA REVIEWS

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 be particularly useful for researchers in the area of data provenance, as well as for those in data management in the application domains covered in the book.” (Sergio Ilarri, Computing Reviews, April, 2013)

You may also be interested in...

Pre-Accident Investigations
Added to basket
Sustainable Engineering
Added to basket
Engineering
Added to basket
Engineering
Added to basket
Paperback
£9.99
Crossing the Chasm
Added to basket
Otto Jahn
Added to basket
William Armstrong
Added to basket
Mechanics of Aero-structures
Added to basket
VHDL by Example
Added to basket
Paperback
£13.02
Behind Human Error
Added to basket
The Watch Repairer's Manual
Added to basket
Fabrication and Welding Engineering
Added to basket
Brunel in Bristol
Added to basket
Human Factors Methods
Added to basket

Please sign in to write a review

Your review has been submitted successfully.