Knowledge infrastructure for integrated data management and analysis supporting new approach methods in predictive toxicology and risk assessment

The EU-ToxRisk project (2016–2021) was a large European project working towards shifting toxicological testing away from animal tests, towards a toxicological assessment based on comprehensive mechanistic understanding of cause-consequence relationships of chemical adverse effects. More than 40 part...

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Veröffentlicht in:Toxicology in vitro 2024-10, Vol.100, p.105903, Article 105903
Hauptverfasser: Hardy, Barry, Mohoric, Tomaz, Exner, Thomas, Dokler, Joh, Brajnik, Maja, Bachler, Daniel, Mbegbu, Ody, Kleisli, Nora, Farcal, Lucian, Maciejczuk, Krzysztof, Rašidagić, Haris, Tagorti, Ghada, Ankli, Pascal, Burgwinkel, Daniel, Anand, Divanshu, Sarkans, Ugis, Athar, Awais
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Sprache:eng
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Zusammenfassung:The EU-ToxRisk project (2016–2021) was a large European project working towards shifting toxicological testing away from animal tests, towards a toxicological assessment based on comprehensive mechanistic understanding of cause-consequence relationships of chemical adverse effects. More than 40 partners from scientific institutions, industry and regulators coordinated their work towards this goal in a six-year long programme. The breadth and variety of data and knowledge generated, presented a challenging data management landscape. Here, we describe our approach to data management as developed under EU-ToxRisk. The main building blocks of the data infrastructure are: 1) An easy-to-use, extensible data and metadata format; 2) A flexible system with protocols for data capture and sharing from the entire consortium; 3) A methods database for describing and reviewing data generation and processing protocols; 4) Data archiving using a sustainable resource; 5) Data transformation from the archive to the system that provides granular access; 6) Application Programming Interface (API) for access to individual data points; 7) Data exploration and analysis modules, based on a «web notebook» approach to executable data processing documentation; and 8) Knowledge portal that ties together all of the above and provides a collaboration space for information exchange across the consortium. This knowledge infrastructure is being extended and refined for the support of follow-up projects (RISK-HUNT3R, ASPIS cluster, European Open Science Cloud (2021–2026)). [Display omitted] •Flexible, sustainable approach to data management and publishing in toxicology.•Modular system for data and knowledge capture and distribution.•FAIR data supporting New Approach Methods in predictive toxicology and risk assessment.
ISSN:0887-2333
1879-3177
1879-3177
DOI:10.1016/j.tiv.2024.105903