From Trace to Dataset · ScalarArchitecture · Anto Lloveras · LAPIEZA-LAB · 2026

A trace becomes data not when it is found, but when it is made addressable within an organised field of relations. A photograph in a personal folder can be inspected as an image; once supplied with date, place, author, method, scale and a stable identifier, it can also be retrieved, linked and compared with other materials. That operation is productive, but not neutral. Classification selects which differences become searchable and which details disappear into an unrecorded remainder. The same is true of a video, drawing, field note, map or exhibition document. ScalarArchitecture proposes that the movement from document to metadata, metadata to dataset and dataset to comparison should be described as a series of transformations rather than a technical cleaning process that leaves the source unchanged. LAPIEZA-LAB’s archives, Filmados, COPOS and Socioplastics supply examples of heterogeneous cultural and spatial traces whose relations depend on titles, version histories, identifiers and indexing decisions. A dataset can strengthen comparison only if its objects remain connected to their origins and the limits of their original evidence. Minimal shared metadata may be more useful than forcing fundamentally different records into an artificially uniform table. The practical test is reversible inquiry: can a question posed to the dataset return the reader to an identifiable source, its context and the decisions through which it was transformed? Data do not escape interpretation. Their value lies in making interpretive operations visible enough to be criticised, revised and reused.