Data Provenance and Data Management in eScience (Record no. 53067)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03424nam a22005055i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-642-29931-5 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200420221259.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 120803s2013 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783642299315 |
| -- | 978-3-642-29931-5 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 620 |
| 245 10 - TITLE STATEMENT | |
| Title | Data Provenance and Data Management in eScience |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XII, 184 p. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Studies in Computational Intelligence, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Provenance Model for Randomized Controlled Trials -- Evaluating Workflow Trust Using Hidden Markov Modeling and Provenance Data -- Unmanaged Workflows: Their Provenance and Use -- Sketching Distributed Data Provenance -- A Mobile Cloud with Trusted Data Provenance Services for Bioinformatics Research -- Data Provenance and Management in Radio Astronomy: A Stream Computing Approach -- Using Provenance to Support Good Laboratory Practice in Grid Environments. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Liu, Qing. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Bai, Quan. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Giugni, Stephen. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Williamson, Darrell. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Taylor, John. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-642-29931-5 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2013. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering, general. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1860-949X ; |
| 912 ## - | |
| -- | ZDB-2-ENG |
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