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...
Guardat en:
| Altres autors: | , , , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2013. |
| Col·lecció: | Studies in Computational Intelligence
426 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 |
Taula de continguts:
- 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