ArticleNanomaterials (Basel, Switzerland)2020
Your Spreadsheets Can Be FAIR: A Tool and FAIRification Workflow for the eNanoMapper Database.
Article in Nanomaterials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Recent Advances in Machine Learning Models for Predicting Toxicity of Inorganic Nanoparticles.Chem & bio engineering · 2025Review
- High-throughput screening data generation, scoring and FAIRification: a case study on nanomaterials.Journal of cheminformatics · 2025Article
- Affording reusable data: recommendations for researchers from a data-intensive project.Scientific data · 2025Article
- The Journey to a FAIR CORE DATA SET for Diabetes Research in Germany.Scientific data · 2024Article
- Article
- A template wizard for the cocreation of machine-readable data-reporting to harmonize the evaluation of (nano)materials.Nature protocols · 2024Review
- Current status and future challenges of genotoxicity OECD Test Guidelines for nanomaterials: a workshop report.Mutagenesis · 2023Article
- Towards FAIRification of sensitive and fragmented rare disease patient data: challenges and solutions in European reference network registries.Orphanet journal of rare diseases · 2022Article
- European Registry of Materials: global, unique identifiers for (undisclosed) nanomaterials.Journal of cheminformatics · 2022Article
- FAIRification of nanosafety data to improve applicability of (Q)SAR approaches: A case study onComputational toxicology (Amsterdam, Netherlands) · 2021Article
- Data Shepherding in Nanotechnology. The Exposure Field Campaign Template.Nanomaterials (Basel, Switzerland) · 2021Article
- Towards FAIR nanosafety data.Nature nanotechnology · 2021Article
- Editorial for the Special Issue From Nanoinformatics to Nanomaterials Risk Assessment and Governance.Nanomaterials (Basel, Switzerland) · 2021Article
- Machine Learning and Artificial Intelligence in Nanomedicine.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The field of nanoinformatics is rapidly developing and provides data driven solutions in the area of nanomaterials (NM) safety. Safe by Design approaches are encouraged and promoted through regulatory initiatives and multiple scientific projects. Experimental data is at the core of nanoinformatics processing workflows for risk assessment. The nanosafety data is predominantly recorded in Excel spreadsheet files. Although the spreadsheets are quite convenient for the experimentalists, they also pose great challenges for the consequent processing into databases due to variability of the templates used, specific details provided by each laboratory and the need for proper metadata documentation and formatting. In this paper, we present a workflow to facilitate the conversion of spreadsheets into a FAIR (Findable, Accessible, Interoperable, and Reusable) database, with the pivotal aid of the NMDataParser tool, developed to streamline the mapping of the original file layout into the eNanoMapper semantic data model. The NMDataParser is an open source Java library and application, making use of a JSON configuration to define the mapping. We describe the JSON configuration syntax and the approaches applied for parsing different spreadsheet layouts used by the nanosafety community. Examples of using the NMDataParser tool in nanoinformatics workflows are given. Challenging cases are discussed and appropriate solutions are proposed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.