Suchergebnisse

Abstract
Risk governance, sustainability and safety-by-design have high attention in current research projects and policy. In the EU H2020 Gov4Nano project, we refined the EU H2020 caLIBRAte phase-gate nano-risk innovation governance framework, its guidance and expanded the list of supporting risk governance tools. Stakeholder wishes were mapped from previous projects and consultations made within Gov4Nano and across the two other EU H2020 NMBP-13 governance projects (NANORIGO and RiskGone) and considered in the refinement. The revised framework considers three pre-defined phase-gate models for minor (fast-track/low risk), intermediate (medium risk) and novel (high-risk) developments. The guidance was further elaborated to direct users though sustainability and safety-by-design considerations and risk mitigation actions. ISO21505 was used as the backbone for the risk governance framework. The approach allows design of the specific nano-risk governance project and information requirements for decision-making. The list of recommended nano-risk governance tools was expanded and selected considering their reliability and performance. An important step in this process was an evaluation of tools made under the umbrella of the OECD (ENV/CBC/MONO(2021)23; ENV/CBC/MONO(2021)27/REV; ENV/CBC/MONO(2021)28; ENV/CBC/MONO(2021)29/REV) and development of a new tool assessment framework called TRAAC (Transparency, Reliability, Accessibility, Applicability and Reliability). Limitations in application domains remains an issue for future developments. The approach and tools are made accessible via a nano-risk governance portal produced by the three NMBP-13 projects (http://nanoriskgov.eu/).
Funding: European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement 814401.

According to some legislation grouping can streamline data gap filling for the hazard assessment of substances. The GRACIOUS Framework aims to facilitate the application of grouping of nanomaterials or nanoforms (NFs), in a regulatory context and to support innovation. This includes using grouping to enable read-across from (a) source(s), for which data and information exist, to a similar target NF where information is lacking. The Framework provides an initial set of hypotheses for the grouping of NFs which take into account the identity and use(s) of the NFs, as well as the purpose of grouping. Initial collection of basic information allows selection of an appropriate pre-defined grouping hypothesis and a tailored Integrated Approach to Testing and Assessment (IATA), designed to generate new evidence to support acceptance or rejection of the hypothesis. Users needing to develop their own user-defined hypothesis (and IATA) are also supported by the Framework. In addition, the IATA guides acquisition of the information needed to support read-across. This approach gathers information to render risk assessment more efficient, affordable, as well as reducing the use of test animals.