Scientists from the EU, the USA and a few other countries have developed the Nanoinformatics Roadmap 2030.
The roadmap is a compilation of state-of-the-art commentaries from multiple interconnecting scientific fields, combined with issues involving nanomaterial risk assessment and governance.
In bringing these issues together into a coherent set of milestones, the authors address three recognised challenges facing nanoinformatics.
Limited data sets.
Limited data access.
Regulatory requirements for validating and accepting computational models.
The authors say data generation will progress unequally and unstructured if not captured within a nanoinformatics framework based on harmonised, interconnected databases and standards. The implicit co-ordination efforts within such a framework ensure the early use of the data for regulatory purposes, eg for the read-across method of filling data gaps.
The scientific fields represented in this roadmap include materials science/nanomaterial physicochemical characterisation; eco- and human toxicology (including systems biology approaches); computational modelling; and informatics. Each has its own history, precepts, test methods, analytical tools, metadata forms, ontologies and criteria for interpreting experimental or computational results.
The Nanoinformatics Roadmap adds a formal factor capturing the environment, and health and safety data requirements (eg good laboratory practice) related to regulatory assessments and governance. Co-ordination of future research efforts and provision of a shared vision, rather than programmatic direction, is the Roadmap’s role.
Readers in the health and safety community can develop the methods described and apply them systematically to drive ontology development and improve communication processes to foster increased maturity in protocols, language, testing requirements and integrated data formats for the interrelated scientific fields necessary to achieve roadmap goal.
Last reviewed 6 December 2018