Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations

Abstract

Many groups within the broad field of nanoinformatics are already developing data repositories and analytical tools driven by their individual organizational goals. Integrating these data resources across disciplines and with non-nanotechnology resources can support multiple objectives by enabling the reuse of the same information. Integration can also serve as the impetus for novel scientific discoveries by providing the framework to support deeper data analyses. This article discusses current data integration practices in nanoinformatics and in comparable mature fields, and nanotechnology-specific challenges impacting data integration. Based on results from a nanoinformatics-community-wide survey, recommendations for achieving integration of existing operational nanotechnology resources are presented. Nanotechnology-specific data integration challenges, if effectively resolved, can foster the application and validation of nanotechnology within and across disciplines. This paper is one of a series of articles by the Nanomaterial Data Curation Initiative that address data issues such as data curation workflows, data completeness and quality, curator responsibilities, and metadata.

Contribution of mesocosm testing to a single-step and exposure-driven environmental risk assessment of engineered nanomaterials

“…US CEINT, FP7 Nanoreg, H2020 NanoFase) (Fadeel et al, 2018). These data are meant to be fed into databases (NIKC, eNanoMapper, NanoCommons) to enable a sound and inter-operable knowledge base, (Karcher et al, 2018) which, given the extraordinary versatility of mesocosm testing, has the eventual objective of providing a comprehensive basis for environmental risk assessment.…”

Practices and Trends of Machine Learning Application in Nanotoxicology

“…However, even the best algorithm trained with small datasets can be defeated by less sophisticated algorithms trained with more data [151]. Datasets and/or databases integration can be a solution to data scarcity, which generates new hypotheses and knowledge [152]. Karcher et al [152] highlighted the importance of data integration in nanotechnology and provided recommendations for advancing integration.…”

“…Datasets and/or databases integration can be a solution to data scarcity, which generates new hypotheses and knowledge [152]. Karcher et al [152] highlighted the importance of data integration in nanotechnology and provided recommendations for advancing integration.…”

Nanocharacterization, Materials Modeling, and Research Integrity as Enablers of Sound Risk Assessment: Designing Responsible Nanotechnology

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