Your browser doesn't support javascript.
loading
Knowledge infrastructure for integrated data management and analysis supporting new approach methods in predictive toxicology and risk assessment.
Hardy, Barry; Mohoric, Tomaz; Exner, Thomas; Dokler, Joh; Brajnik, Maja; Bachler, Daniel; Mbegbu, Ody; Kleisli, Nora; Farcal, Lucian; Maciejczuk, Krzysztof; Rasidagic, Haris; Tagorti, Ghada; Ankli, Pascal; Burgwinkel, Daniel; Anand, Divanshu; Sarkans, Ugis; Athar, Awais.
Afiliación
  • Hardy B; Edelweiss Connect GmbH, Switzerland. Electronic address: info@edelweissconnect.com.
  • Mohoric T; Edelweiss Connect GmbH, Switzerland.
  • Exner T; Edelweiss Connect GmbH, Switzerland.
  • Dokler J; Edelweiss Connect GmbH, Switzerland.
  • Brajnik M; Edelweiss Connect GmbH, Switzerland.
  • Bachler D; Edelweiss Connect GmbH, Switzerland.
  • Mbegbu O; Edelweiss Connect GmbH, Switzerland.
  • Kleisli N; Edelweiss Connect GmbH, Switzerland.
  • Farcal L; Edelweiss Connect GmbH, Switzerland.
  • Maciejczuk K; Edelweiss Connect GmbH, Switzerland.
  • Rasidagic H; Edelweiss Connect GmbH, Switzerland.
  • Tagorti G; Edelweiss Connect GmbH, Switzerland.
  • Ankli P; Edelweiss Connect GmbH, Switzerland.
  • Burgwinkel D; Edelweiss Connect GmbH, Switzerland.
  • Anand D; Edelweiss Connect GmbH, Switzerland.
  • Sarkans U; EMBL-EBI, UK.
  • Athar A; EMBL-EBI, UK.
Toxicol In Vitro ; 100: 105903, 2024 Oct.
Article en En | MEDLINE | ID: mdl-39047988
ABSTRACT
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 notebook¼ 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)).
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Toxicología / Bases de Datos Factuales Límite: Animals / Humans Idioma: En Revista: Toxicol In Vitro Asunto de la revista: TOXICOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Toxicología / Bases de Datos Factuales Límite: Animals / Humans Idioma: En Revista: Toxicol In Vitro Asunto de la revista: TOXICOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido