Liu, Qing and Zhang, Ji and Forbes, James and Xu, Kai and Nair, Dinesh (2011) A process provenance service system for scientific data analysis and sharing. In: 2nd International Conference on Data and Knowledge Engineering (ICDKE 2011), 6-8 Sep 2011, Milan, Italy.
|HTML Citation||EndNote||Dublin Core||Reference Manager|
Full text not available from this archive.
Identification Number or DOI: doi: 10.1109/ICDKE.2011.6053921
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.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||Permanent restricted access to published version due to publisher copyright policy.|
|Uncontrolled Keywords:||bioinformatics; collaboration; data analysis; proteins; publishing; semantics|
|Fields of Research (FOR2008):||08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications|
08 Information and Computing Sciences > 0803 Computer Software > 080301 Bioinformatics Software
22 Philosophy and Religious Studies > 2201 Applied Ethics > 220107 Professional Ethics (incl. police and research ethics)
|Socio-Economic Objective (SEO2008):||E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences|
|Deposited On:||07 Feb 2012 22:45|
|Last Modified:||02 Apr 2013 10:09|
Archive Staff Only: edit this record