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.
['Qing Liu', 'Ji Zhang', 'James Forbes', 'Kai Xu', 'Dinesh Nair']
A process provenance service system for scientific data analysis and sharing