Data provenance and data management in escience

This book covers important aspects of fundamental research in data provenanceand data management(DPDM), including provenance representation and querying, as well as practical applications in such domains as clinical trials, bioinformatics and radio astronomy. INDICE: 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.

• ISBN: 978-3-642-29930-8
• Editorial: Springer
• Encuadernacion: Cartoné
• Fecha Publicación: 30/06/2012
• Nº Volúmenes: 1
• Idioma: Inglés