Studies in Computational Intelligence

Data Provenance and Data Management in eScience

Editors: Liu, Q., Bai, Q., Giugni, S., Williamson, D., Taylor, J. (Eds.)

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  • How to use advanced semantic and AI techniques to track and manage information which describe the life cycle of data items and products
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About this book

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.

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)

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-29931-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA
  • ISBN 978-3-642-29930-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.99
price for USA
  • ISBN 978-3-642-44158-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices

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Bibliographic Information

Bibliographic Information
Book Title
Data Provenance and Data Management in eScience
Editors
  • Qing Liu
  • Quan Bai
  • Stephen Giugni
  • Darrell Williamson
  • John Taylor
Series Title
Studies in Computational Intelligence
Series Volume
426
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-29931-5
DOI
10.1007/978-3-642-29931-5
Hardcover ISBN
978-3-642-29930-8
Softcover ISBN
978-3-642-44158-5
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 184
Topics