A process provenance service system for scientific data analysis and sharing
- Resource Type
- Conference
- Authors
- Liu, Qing; Zhang, Ji; Forbes, James; Xu, Kai; Nair, Dinesh
- Source
- 2011 International Conference on Data and Knowledge Engineering (ICDKE) Data and Knowledge Engineering (ICDKE), 2011 International Conference on. :25-29 Sep, 2011
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Bioinformatics
Data analysis
Semantics
Publishing
Collaboration
Proteins
- Language
Scientific research has moved from an isolated environment into a collaborated culture due to data explosion and the experiment complexity. There are strong demands to track and share the data sources and the analysis processes that generate particular results and conclusions. However, the existing systems do not support well the end-to-end data analysis and sharing environment which involves searching information, conducting experiments and sharing results. In this work, we present a process provenance service system which supports the scientific collaboration.