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Census Bureau presenter calls metadata the —DNA of a digital asset' in push for AI-ready data
Summary
A Census Bureau supervisory geographer outlined why descriptive, structural and administrative metadata are essential for both human users and AI, warning that "without metadata, AI isn't learning. It's just guessing." The talk mapped practical steps for making datasets findable, accessible, interoperable and reusable.
Lisonbee Schafer Blackwell, a supervisory geographer in the Census Bureau's Geography Division, told attendees the first requirement for reliable AI use of government data is robust metadata. "Metadata is the DNA of a digital asset," she said, arguing that metadata must capture "who, what, when, where and why" so both people and machines can find and correctly interpret datasets.
Blackwell divided metadata into three layers — descriptive (title, keywords, abstracts), structural (format and processing logic) and administrative (rights, expiration, usage limits) — and said they must be produced together so automated systems do not misinterpret variables or vintages. She recommended persistent identifiers, machine-readable licensing and explicit dataset linkages as immediate priorities for practitioners.
