We propose operational definitions and a classification framework for air quality sensor-derived data, thereby aiding users in interpreting and selecting suitable data products for their applications. We focus on differentiating independent sensor measurements (ISM) from other data products, emphasizing transparency and traceability. Recommendations are provided for manufacturers, academia,andstandardizationbodiestoadoptthesedefinitions,fosteringdataproductdifferentiation and incentivizing the development of more robust, reliable sensor hardware
