We present experience with integrating large sets of nanosafety data generated from past NanoSafety Cluster projects with the help of a substance data model (Figure 1), implemented by the eNanoMapper database software [1]. This data model is also successfully used to handle chemical substances and safety data from ECHA dossiers [2]. •While multiple structured import formats are supported (IUCLID, RDF, JSON), the nanosafety data from past and ongoing projects use custom spreadsheet templates, currently encompassing over 1000 Excel files. Import of Excel files is enabled by a configurable parser that maps the spreadsheet data via external configuration files. Multiple export formats are supported, including tab delimited files, RDF and ISA-JSON. •The eNanoMapper ontology[3] is used for harmonisation of the terminology and as a synonym list for query expansion.

{"references": ["Jeliazkova, N.; Chomenidis, C.; Doganis, P.; Fadeel, B.; Grafstr\u00f6m, R.; Hardy, B.; Hastings, J.; Hegi, M.; Jeliazkov, V.; Kochev, N.; Kohonen, P.; Munteanu, C. R.; Sarimveis, H.; Smeets, B.; Sopasakis, P.; Tsiliki, G.; Vorgrimmler, D.; Willighagen, E. Beilstein J. Nanotechnol. 2015, 6, 1609\u20131634.", "Jeliazkova, N.; Koch, V.; Li, Q.; Jensch, U.; Reigl, J. S.; Kreiling, R.; Georgiev, I.; Hubesch, B. Toxicol. Lett. 2016, 258, S114\u2013S115.", "Hastings, J.; Jeliazkova, N.; Owen, G.; Tsiliki, G.; Munteanu, C. R.; Steinbeck, C.; Willighagen, E. J. Biomed. Semantics 2015, 6 (1), 10."]}