Nanomaterial safety assessment has become an important task following the production growth of engineered nanoma-terials (ENMs) and the increased interest for ENMs from various academic, industry and regulatory parties. A number of challenges exist in nanomaterials data representation and integration mainly due to the data complexity and origination of ENM information from diverse sources. We have recently described eNanoMapper database (http://dx.doi.org/10.3762/bjnano.6.165) as part of the computational infrastructure for toxicological data management of engineered materials, developed within eNanoMapper project (http://www.enanomapper.net). The eNanoMapper approach builds on previous experience of the consortium partners in supporting diverse chemical data through flexible data storage, semantic web tech-nologies, open source components and web services. The shift from the chemical structure based approach to a substance based information management enables support for the new challenging cases of ENMs.
The supported import formats (OECD HT, custom RDF and CSV formats) are currently being extended with ISA-TAB-Nano and a large set of custom spreadsheet templates, taking into account the observation that the latter is the preferred approach data preparation format of the majority of the NanoSafety Cluster projects. A configurable parser enables import of the data stored in the supported set of spreadsheet templates, accommodating different row-based, column-based or mixed organization of the data. The configuration metadata is defined in a separate file, mapping the custom spreadsheet organization into the internal eNanoMapper storage components: Substance, Protocol, Measurement, Parameters and Conditions. This enables uniform approach towards import, storage and searching of the ENM physicochemical measurement and biological assay results.
eNanoMapper database is available at http://apps.ideaconsult.net/enanomapper