The manufacturing industry is continuously looking for production improvements resulting in high quality production, reduced waste and competitive advantages. In this article, ontologies, semantic rule logic and microservices have been deployed to suggest a system for quality assurance of manufacturing machine data. The existing upper ontology for manufacturing service description has been used to define both the physical assets as well as the data quality requirements. The system is used to both operationalize data quality monitoring by semantic technology as well as enabling up-front modelling of data quality requirements. The approach is illustrated by a specific speed-feed case for manufacturing machines but could easily be extended to other manufacturing use-cases or even to other industries.