The digital transformation of the international quality infrastructure requires that units, quantities, values and the concepts that define them be represented in forms that machines can resolve, exchange and verify. Resolution 2 of the 27th CGPM (2022) called for an SI Digital Framework and for the adoption of the FAIR principles for metrological data and metadata. The international organizations of metrology, standardization and the scientific unions, including IMEKO, have committed through a Joint Statement of Intent to support its development and use. Implementation now raises research questions that go beyond units to the terminological and information-model layers above them. How should vocabularies and data dictionaries be identified, published and aligned? Where do formal ontologies add value, and where do they not? How can industrial and scientific data workflows rely on these resources in practice?

This Special Session invites original papers on the digital transformation of the quality infrastructure, including but not limited to:
– machine-actionable representation of units, quantities and values, including the SI Digital Framework, the SI Reference Point, and mappings from unit dictionaries and code systems
– FAIR terminological resources: persistent identifiers, SKOS-based representations, metadata profiles and FAIRness assessment methods
– semantic interoperability across vocabularies and information models: alignment, mapping, and the governance of interdependent resources
– ontologies for metrology: formalization of metrological concepts and the limits of formalization
– digital calibration certificates, measurement data workflows and digital product data
– units and quantities without SI representation
– artificial intelligence and metrological semantics, including ontology-grounded AI and AI-assisted vocabulary engineering

Papers reporting implementation experience, case studies and requirements from industry and from measurement data infrastructures are particularly welcome, alongside methodological work. The session aims to bring together the organizations that develop these resources and the researchers and practitioners who use them.