| Abstract: |
Product data can usefully be defined as structured information about objects which are produced by industrial and business processes. In terms of information types, data formats, usage, and lifespan, product data is both complex and diverse, encompassing proprietary 3D image modeling information, dimensions, tolerances, and other model annotations, supplementary material such as test analysis, videos, and datasets, and human-readable documentation. Although the metadata issues in this problem space present some unique features, there are valuable lessons to be learned from the library metadata and packaging standards and how they relate to product metadata. Extending the library standards to represent subsets of information from emerging product lifecycle management standards could help tame the complexity of long-term product data archival. |
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