The health, safety and environmental management of nanomaterials (NMs) is increasingly important. Currently, there is no complete understanding of NMs' impacts, and emerging NMs require new risk management approaches.
This project aims to develop a knowledge-based infrastructure for data hosting, sharing and exploitation via predictive modelling, to support NM grouping and risk assessment using nanodescriptors that are predictively linked to NM functionality, exposure and hazard. Project outcomes will benefit stakeholders at each stage of the NM value chain.
