Journal of Cheminformatics · 2022 · 27 citations · 22 references
Natural SciencesChemistryMaterials ScienceMaterials ChemistryNanomaterialsNanotechnologyChemical NomenclatureMaterials InformaticsMaterials StandardizationMetadata StandardsNanoscale MaterialsData Integration Across BatchesMaterial IdentificationMaterials Database DesignMetadata Standards For MaterialsStandardized Material Data
Management of nanomaterials and nanosafety data needs to operate under the FAIR (findability, accessibility, interoperability, and reusability) principles and this requires a unique, global identifier for each nanomaterial. Existing identifiers may not always be applicable or sufficient to definitively identify the specific nanomaterial used in a particular study, resulting in the use of textual descriptions in research project communications and reporting. To ensure that internal project documentation can later be linked to publicly released data and knowledge for the specific nanomaterials, or even to specific batches and variants of nanomaterials utilised in that project, a new identifier is proposed: the European Registry of Materials Identifier. We here describe the background to this new identifier, including FAIR interoperability as defined by FAIRSharing, identifiers.org, Bioregistry, and the CHEMINF ontology, and show how it complements other identifiers such as CAS numbers and the ongoing efforts to extend the InChI identifier to cover nanomaterials. We provide examples of its use in various H2020-funded nanosafety projects.
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The FAIR Guiding Principles for scientific data management and stewardship
Mark D. Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg et al. · Scientific Data · 2016 · 17.8K citations · Full text
InChI, the IUPAC International Chemical Identifier
Stephen R. Heller, Alan D. Mcnaught, Stephen E. Stein et al. · Journal of Cheminformatics · 2015 · 873 citations · Full text
FAIR Principles: Interpretations and Implementation Considerations
Annika Jacobsen, Ricardo de Miranda Azevedo, Nick Juty et al. · Data Intelligence · 2019 · 459 citations · Full text