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@ARTICLE{Jeliazkova:1020643,
      author       = {Jeliazkova, Nina and Chomenidis, Charalampos and Doganis,
                      Philip and Fadeel, Bengt and Grafström, Roland and Hardy,
                      Barry and Hastings, Janna and Hegi, Markus and Jeliazkov,
                      Vedrin and Kochev, Nikolay and Kohonen, Pekka and Munteanu,
                      Cristian R and Sarimveis, Haralambos and Smeets, Bart and
                      Sopasakis, Pantelis and Tsiliki, Georgia and Vorgrimmler,
                      David and Willighagen, Egon},
      title        = {{T}he e{N}ano{M}apper database for nanomaterial safety
                      information},
      journal      = {Beilstein journal of nanotechnology},
      volume       = {6},
      issn         = {2190-4286},
      address      = {Frankfurt, M.},
      publisher    = {Beilstein-Institut zur Förderung der Chemischen
                      Wissenschaften},
      reportid     = {FZJ-2024-00326},
      pages        = {1609 - 1634},
      year         = {2015},
      abstract     = {Background: The NanoSafety Cluster, a cluster of projects
                      funded by the European Commision, identified the need for a
                      computational infrastructure for toxicological data
                      management of engineered nanomaterials (ENMs). Ontologies,
                      open standards, and interoperable designs were envisioned to
                      empower a harmonized approach to European research in
                      nanotechnology. This setting provides a number of
                      opportunities and challenges in the representation of
                      nanomaterials data and the integration of ENM information
                      originating from diverse systems. Within this cluster,
                      eNanoMapper works towards supporting the collaborative
                      safety assessment for ENMs by creating a modular and
                      extensible infrastructure for data sharing, data analysis,
                      and building computational toxicology models for
                      ENMs.Results: The eNanoMapper database solution builds on
                      the previous experience of the consortium partners in
                      supporting diverse data through flexible data storage, open
                      source components and web services. We have recently
                      described the design of the eNanoMapper prototype database
                      along with a summary of challenges in the representation of
                      ENM data and an extensive review of existing nano-related
                      data models, databases, and nanomaterials-related entries in
                      chemical and toxicogenomic databases. This paper continues
                      with a focus on the database functionality exposed through
                      its application programming interface (API), and its use in
                      visualisation and modelling. Considering the preferred
                      community practice of using spreadsheet templates, we
                      developed a configurable spreadsheet parser facilitating
                      user friendly data preparation and data upload. We further
                      present a web application able to retrieve the experimental
                      data via the API and analyze it with multiple data
                      preprocessing and machine learning algorithms.Conclusion: We
                      demonstrate how the eNanoMapper database is used to import
                      and publish online ENM and assay data from several data
                      sources, how the “representational state transfer”
                      (REST) API enables building user friendly interfaces and
                      graphical summaries of the data, and how these resources
                      facilitate the modelling of reproducible quantitative
                      structure–activity relationships for nanomaterials
                      (NanoQSAR).},
      ddc          = {620},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.3762/bjnano.6.165},
      url          = {https://juser.fz-juelich.de/record/1020643},
}