Why and Where: A Characterization of Data Provenance
ICDT '01 Proceedings of the 8th International Conference on Database Theory
An annotation management system for relational databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
The life and times of files and information: a study of desktop provenance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bridging workflow and data provenance using strong links
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
Supporting professional spreadsheet users by generating leveled dataflow diagrams
Proceedings of the 33rd International Conference on Software Engineering
A Provenance Approach to Trace Scientific Experiments on a Grid Infrastructure
ESCIENCE '11 Proceedings of the 2011 IEEE Seventh International Conference on eScience
In Situ Data Provenance Capture in Spreadsheets
ESCIENCE '11 Proceedings of the 2011 IEEE Seventh International Conference on eScience
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Analyzing data from multiple sources is a common task in scientific research. In particular, spreadsheet data is often aggregated from a variety of sources to identify patterns and synthesize reports. Yet, techniques are lacking for automatically capturing the provenance of such data within spreadsheet environments like Excel. We present a novel approach for fine-grained tracing of tabular data that may have been obtained from files, databases, or the Web. Our approach provides relevant provenance information at both the micro-level (per cell) and the macro-level (per sheet). Initial results suggest that our approach is scalable and beneficial to data analysts.