A process provenance service system for scientific data analysis and sharing
conference contribution
posted on 2023-05-23, 12:04authored byQing LiuQing Liu, Zhang, J, Forbes, J, Xu, Kai, Nair, D
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.
History
Publication title
Proceedings of 2011 International Conference on Data and Knowledge Engineering (ICDKE)
Editors
J Zhang, G Livraga
Pagination
25-29
ISBN
978-1-4577-0865-7
Department/School
School of Information and Communication Technology
Publisher
Curran Associates
Place of publication
Red Hook, New York, United States
Event title
2011 International Conference on Data and Knowledge Engineering (ICDKE)