ArticleNanoscale2016
How should the completeness and quality of curated nanomaterial data be evaluated?
Article in Nanoscale, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review on the Hazard Assessment of Amorphous Silica Based on the Literature From 2013 to 2018.Frontiers in public health · 2022Pooled it
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- Toxic or non-toxic: a critical assessment of the contradictory results for selected graphene family materials.Frontiers in toxicology · 2026Review
- Automated Large-Scale Extraction of Nanotoxicity Data from the Literature Using Multimodal Large Language Models.Computational and structural biotechnology journal · 2026Article
- FAIR assessment of nanosafety data reusability with community standards.Scientific data · 2024Article
- Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures.Advanced materials (Deerfield Beach, Fla.) · 2024Review
- Knowledge and Instance Mapping: architecture for premeditated interoperability of disparate data for materials.Scientific data · 2024Article
- (Re)Conceptualizing decision-making tools in a risk governance framework for emerging technologies-the case of nanomaterials.Environment systems & decisions · 2023Review
- SciRAPnano: a pragmatic and harmonized approach for quality evaluation ofFrontiers in toxicology · 2023Article
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- Immunotoxicity of nanomaterials in health and disease: Current challenges and emerging approaches for identifying immune modifiers in susceptible populations.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2022Review
- Digital research data: from analysis of existing standards to a scientific foundation for a modular metadata schema in nanosafety.Particle and fibre toxicology · 2022Review
- FAIRification of nanosafety data to improve applicability of (Q)SAR approaches: A case study onComputational toxicology (Amsterdam, Netherlands) · 2021Article
- Towards FAIR nanosafety data.Nature nanotechnology · 2021Article
- Bridging international approaches on nanoEHS.Nature nanotechnology · 2021Article
- Reliable Surface Analysis Data of Nanomaterials in Support of Risk Assessment Based on Minimum Information Requirements.Nanomaterials (Basel, Switzerland) · 2021Article
- Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning.Beilstein journal of nanotechnology · 2021Article
- Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies?Nanomaterials (Basel, Switzerland) · 2020Article
- A Semi-Automated Workflow for FAIR Maturity Indicators in the Life Sciences.Nanomaterials (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Nanotechnology is of increasing significance. Curation of nanomaterial data into electronic databases offers opportunities to better understand and predict nanomaterials' behaviour. This supports innovation in, and regulation of, nanotechnology. It is commonly understood that curated data need to be sufficiently complete and of sufficient quality to serve their intended purpose. However, assessing data completeness and quality is non-trivial in general and is arguably especially difficult in the nanoscience area, given its highly multidisciplinary nature. The current article, part of the Nanomaterial Data Curation Initiative series, addresses how to assess the completeness and quality of (curated) nanomaterial data. In order to address this key challenge, a variety of related issues are discussed: the meaning and importance of data completeness and quality, existing approaches to their assessment and the key challenges associated with evaluating the completeness and quality of curated nanomaterial data. Considerations which are specific to the nanoscience area and lessons which can be learned from other relevant scientific disciplines are considered. Hence, the scope of this discussion ranges from physicochemical characterisation requirements for nanomaterials and interference of nanomaterials with nanotoxicology assays to broader issues such as minimum information checklists, toxicology data quality schemes and computational approaches that facilitate evaluation of the completeness and quality of (curated) data. This discussion is informed by a literature review and a survey of key nanomaterial data curation stakeholders. Finally, drawing upon this discussion, recommendations are presented concerning the central question: how should the completeness and quality of curated nanomaterial data be evaluated?
Identifiers
What OpenQuestion holds
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.