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

Data management Data resource sustainability FAIR data Knowledge management Toxicology data

Journal

Toxicology in vitro : an international journal published in association with BIBRA
ISSN: 1879-3177
Titre abrégé: Toxicol In Vitro
Pays: England
ID NLM: 8712158

Informations de publication

Date de publication:
22 Jul 2024
Historique:
received: 20 11 2023
revised: 25 06 2024
accepted: 15 07 2024
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 24 7 2024
Statut: aheadofprint

Résumé

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)).

Identifiants

pubmed: 39047988
pii: S0887-2333(24)00133-4
doi: 10.1016/j.tiv.2024.105903
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105903

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest We have done this work with the best knowledge and conscience to avoid any conflict of interest. If, nevertheless, you think that there might be a conflict of interest, please feel free to reach out to us and contact Edelweiss Connect GmbH.

Auteurs

Barry Hardy (B)

Edelweiss Connect GmbH, Switzerland. Electronic address: info@edelweissconnect.com.

Tomaz Mohoric (T)

Edelweiss Connect GmbH, Switzerland.

Thomas Exner (T)

Edelweiss Connect GmbH, Switzerland.

Joh Dokler (J)

Edelweiss Connect GmbH, Switzerland.

Maja Brajnik (M)

Edelweiss Connect GmbH, Switzerland.

Daniel Bachler (D)

Edelweiss Connect GmbH, Switzerland.

Ody Mbegbu (O)

Edelweiss Connect GmbH, Switzerland.

Nora Kleisli (N)

Edelweiss Connect GmbH, Switzerland.

Lucian Farcal (L)

Edelweiss Connect GmbH, Switzerland.

Krzysztof Maciejczuk (K)

Edelweiss Connect GmbH, Switzerland.

Haris Rašidagić (H)

Edelweiss Connect GmbH, Switzerland.

Ghada Tagorti (G)

Edelweiss Connect GmbH, Switzerland.

Pascal Ankli (P)

Edelweiss Connect GmbH, Switzerland.

Daniel Burgwinkel (D)

Edelweiss Connect GmbH, Switzerland.

Divanshu Anand (D)

Edelweiss Connect GmbH, Switzerland.

Ugis Sarkans (U)

EMBL-EBI, UK.

Awais Athar (A)

EMBL-EBI, UK.

Classifications MeSH