The session will discuss use cases and ongoing work towards practical solutions to address these issues based on rich, standardized, and machine-actionable metadata and mappings. These approaches aim at producing automated data pipelines and making data findable, accessible, interoperable and reusable, in line with the FAIR principles. Concretely, the session will elaborate on how implementation standards can be used together with conceptual ModernStats models to improve interoperability at technical, semantic and organizational levels, and how they can be leveraged to build statistical production pipelines that are metadata-driven, semantically consistent and reusable.