When Data Comes in Boxes: Why Hierarchies Beat Sample Hoarding
Data rarely arrives as loose sand Data teams like to speak as if training data arrives one sample at a time: one image, one row, one document, one carefully chosen datapoint. Procurement departments, research consortia, hospitals, vendors, and public repositories are less poetic. They ship data in boxes. A box might be a dataset from one partner institution. A folder from a public repository. A domain-specific archive. A vendor package. A department export. It arrives with source, license, schema, quirks, and hidden failure modes already attached. The operational question is not only “Which samples should we keep?” It is also “Which boxes are worth opening?” ...