INVESTIGATING DATA PROVENANCE IN THE CONTEXT OF NEW PRODUCT DESIGN AND DEVELOPMENT

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INVESTIGATING DATA PROVENANCE IN THE CONTEXT OF
NEW PRODUCT DESIGN AND DEVELOPMENT
Sudha Ram Eller Professor of MIS Department of
MIS University of Arizona Tucson, AZ Email
ram_at_eller.arizona.edu URL http//adrg.eller.arizo
na.edu
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What is data provenance

• Meta-level information about the origin of a data
  resource and the process of how the data resource
  was generated and used.
• Includes Who , What, When, Where, How, and Why,
  about data resources.
• Lineage, Pedigree, Origin

Provenance Record
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Why is provenance important
Data Quality - Evaluate quality of data - Trust
in the source of data

• Replication
• Reproduce a dataset
• Repeat to verify /compare

Audit Trail - Error detection - Usage log
Informational - Discover datasets - Browse
provenance

• Knowledge Discovery and Sharing
• Enable correct interpretation of data
• Help generate new hypotheses

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Provenance in New Product Design and Development
Material testing and processing being performed
at different times, in different locations, by
different groups using different methods
Materials
A large repository of material data

• Share, discover, re-use material data resources
• Streamline design activities
• Lessen the possibility of repeating dead ends.

Engineers
New Product Design Projects
PROVENANCE
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Methodology

• Project Partner Raytheon
• Missile Systems

Investigate the semantics of provenance and
develop an ontology to represent it
Develop a web-based provenance management system
PROMS
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Provenance ontology
Experiment
Action dependency
is_a
part_of
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A sample provenance record
Alloy 7070 T6
Data
Happens to
Provenance
What Access
Performed by
Occurs at
Who Josh Cohn
When Jan. 5, 2006
Because
Happens at
Accomplished by
Why To be used in the SM-3 Program
Where Raytheon, Tucson, AZ
Uses
How Verification
With What Granta Design
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Provenance Graph

• Provenance is useful for context based data
  analysis
• - Provenance can be used to group knowledge

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Architecture of PROMS
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Contributions of the Research

• Understand the semantics of provenance
• Facilitate representation of Provenance
• Automate the capture of Provenance
• Create a comprehensive record of provenance in a
  consistent and structured way