System Transparency, or How I Learned to Worry about Meaning and Love Provenance!

Authors
Zednik, Stefan
Fox, Peter
McGuinness, Deborah L.
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Issue Date
2010
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Attribution-NonCommercial-NoDerivs 3.0 United States
Full Citation
Zednik, S., Fox, P., and McGuinness, D.L. 2010. System Transparency, or How I Learned to Worry about Meaning and Love Provenance!. In Proceedings of 3rd International Provenance and Annotation Workshop (June 15-16 2010, ), pp. 165-173.
Abstract
Web-based science analysis and processing tools allow users to access, analyze, and generate visualizations of data without requiring the user be an expert in data processing. These tools simplify science analysis for all science users by reducing the data processing overhead for the user. The benefits of these tools come with a cost, the increased need for transparency in data processing. By providing a clear explanation of the science concepts and processing performed by the science analysis tool we can increase user trust, understanding, and accountability and reduce misinterpretation or generation of inconsistent results. We will demonstrate knowledge provenance (processing lineage and related domain information) presentation capabilities applied to an existing web-based Earth science data analysis tool (e.g. Giovanni from NASA/GSFC). Our conclusion is that user accessible visual presentations of knowledge provenance are key to building meaningful user understanding of analysis and processing decisions and should be a key component of data analysis tools.
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Springer
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