Product data can be usefully defined as structured information about objects that 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 3D image modeling information, dimensions, tolerances, and other model annotations, supplementary material such as test analysis, videos, datasets, and human-readable documentation. Although the metadata issues in this problem space present some unique challenges, 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 archival of product data.