Methods, models, mechanisms and metadata: Introducing the Nanotoxicology collection at F1000Research

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Lynch, I (author)

Methods, models, mechanisms and metadata: Introducing the Nanotoxicology collection at F1000Research

Article/chapterEnglish2021

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2021-11-24
F1000 Research Ltd,2021

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LIBRIS-ID:oai:prod.swepub.kib.ki.se:234853679
http://kipublications.ki.se/Default.aspx?queryparsed=id:234853679URI
https://doi.org/10.12688/f1000research.75113.1DOI

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Language:English
Summary in:English

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SwePubSwePub

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Subject category:vet swepub-contenttype
Subject category:art swepub-publicationtype

Notes

Nanotoxicology is a relatively new field of research concerning the study and application of nanomaterials to evaluate the potential for harmful effects in parallel with the development of applications. Nanotoxicology as a field spans materials synthesis and characterisation, assessment of fate and behaviour, exposure science, toxicology / ecotoxicology, molecular biology and toxicogenomics, epidemiology, safe and sustainable by design approaches, and chemoinformatics and nanoinformatics, thus requiring scientists to work collaboratively, often outside their core expertise area. This interdisciplinarity can lead to challenges in terms of interpretation and reporting, and calls for a platform for sharing of best-practice in nanotoxicology research. The F1000Research Nanotoxicology collection, introduced via this editorial, will provide a place to share accumulated best practice, via original research reports including no-effects studies, protocols and methods papers, software reports and living systematic reviews, which can be updated as new knowledge emerges or as the domain of applicability of the method, model or software is expanded. This editorial introduces the Nanotoxicology Collection in F1000Research. The aim of the collection is to provide an open access platform for nanotoxicology researchers, to support an improved culture of data sharing and documentation of evolving protocols, biological and computational models, software tools and datasets, that can be applied and built upon to develop predictive models and move towards in silico nanotoxicology and nanoinformatics. Submissions will be assessed for fit to the collection and subjected to the F1000Research open peer review process.

Added entries (persons, corporate bodies, meetings, titles ...)

Nymark, PKarolinska Institutet (author)
Doganis, P (author)
Gulumian, M (author)
Yoon, TH (author)
Martinez, DST (author)
Afantitis, A (author)
Karolinska Institutet (creator_code:org_t)

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In:F1000Research: F1000 Research Ltd10, s. 1196-2046-1402

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By the author/editor: Lynch, I; Nymark, P; Doganis, P; Gulumian, M; Yoon, TH; Martinez, DST; show more...; Afantitis, A; show less...

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