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 |
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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)).
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•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. |
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ISSN: | 0887-2333 1879-3177 1879-3177 |
DOI: | 10.1016/j.tiv.2024.105903 |