This paper specifies the technical methodology used to calculate Personal Data Annual Value (PDAV) and the associated strict-attribution floor metric, PDSEV-AI. It covers input schema, symbol definitions, firm qualification, archetype parameterisation, channel attribution, population allocation, regional scaling, scenario assembly, output persistence and known methodological limitations.
The scope is limited to the calculation engine and its audit trail. It specifies how inputs are transformed into outputs, how assumptions are parameterised and how uncertainty is presented.
The metric family evolved through six stages, each answering a narrower or more economically useful question than the previous version. The sequence is retained because intermediate metrics provide useful audit checks even when the published headline is PDAV.
