Data Provenance and Data Management in eScience

• Corporate Author: SpringerLink (Online service)
• Other Authors: Liu, Qing (Editor), Bai, Quan (Editor), Giugni, Stephen (Editor), Williamson, Darrell (Editor), Taylor, John (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Studies in Computational Intelligence, 426
• Subjects: Engineering.; Artificial intelligence.; Engineering, general.; Artificial Intelligence (incl. Robotics).

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...