Data Provenance and Data Management in eScience
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 d...
Bewaard in:
| Andere auteurs: | , , , , |
|---|---|
| Formaat: | Livre numérique |
| Taal: | Anglais |
| Gepubliceerd in: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Editie: | 1st ed. 2013. |
| Reeks: | Studies in Computational Intelligence
426 |
| Online toegang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Opmerking: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Data Provenance and Data Management in eScience, Texte imprimé, 9783642299308 • Data Provenance and Data Management in eScience, Texte imprimé, 9783642299322 • Data Provenance and Data Management in eScience, Texte imprimé, 9783642441585 • Data Provenance and Data Management in eScience, Texte imprimé, 9783642299308 |
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| 245 | 0 | 0 | |a Data Provenance and Data Management in eScience |c edited by Qing Liu, Quan Bai, Stephen Giugni, Darrell Williamson, John Taylor. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 426 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | |a Liu, Qing, |c chercheur en informatique. |4 edt | |
| 700 | 1 | |a Bai, Quan. |4 edt | |
| 700 | 1 | |a Giugni, Stephen. |4 edt | |
| 700 | 1 | |a Williamson, Darrell, |d 1948- |4 edt | |
| 700 | 1 | |a Taylor, John, |c Chercheur en informatique. |4 edt | |
| 776 | 0 | |t Data Provenance and Data Management in eScience |b Texte imprimé |z 9783642299308 | |
| 776 | 0 | |t Data Provenance and Data Management in eScience |b Texte imprimé |z 9783642299322 | |
| 776 | 0 | |t Data Provenance and Data Management in eScience |b Texte imprimé |z 9783642441585 | |
| 776 | 0 | |t Data Provenance and Data Management in eScience |b Texte imprimé |z 9783642299308 | |
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