API design concept
OpenRiskNet is trying to bring together all aspects of chemical and nanomaterial risk assessment including access to data sources and processing, analysis and modelling tools from areas such as hazard prediction using read across or QSAR, toxicogenomics and biokinetics modelling. And as a European infrastructure it needs to be sustainable and prepared for future extensions regarding the integrated data types and modelling approaches. This will only possible with a flexible approach, which on one hand will allow for extensions but on the other hand will avoid too much variety jeopardizing the interoperability of the services.
OpenRiskNet APIs are annotated by a semantic layer, which can be used by the user or other services to get information on the capabilities of the tools and the input/output options. This layer is constructed by combining the two concepts of API descriptions following the OpenAPI definitions and additional annotation of the data structures using the JSON-LD format.
Case studies will be used to test and evaluate the solutions provided by OpenRiskNet to the predictive toxicology and risk assessment community especially regarding the usability of the developed APIs and the interoperability layer. These will demonstrate the capabilities to satisfy the requirements of the different stakeholder groups including researchers, risk assessors and regulators and present real-world applications like systems biology approaches for grouping compounds, read-across applications using chemical and biological similarity, and identifying areas of concern based on in vitro and in silico approaches for compounds lacking any previous knowledge from animal experiments (ab initio case).