A process provenance service system for scientific data analysis and sharing

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...

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Bibliographic Details
Published in2011 International Conference on Data and Knowledge Engineering (ICDKE) pp. 25 - 29
Main Authors Qing Liu, Ji Zhang, Forbes, J., Kai Xu, Nair, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Bioinformatics
Collaboration
Data analysis
Proteins
Publishing
Semantics
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Summary: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.
ISBN:9781457708657
1457708655
DOI:10.1109/ICDKE.2011.6053921