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

Abstract

AbstractWeb-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.KeywordsAerosol Optical DepthData LineageCausality GraphProvenance InformationMODIS AquaThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.