Details

Autor(en) / Beteiligte

• Wittwehr, Clemens
• Clerbaux, Laure-Alix
• Edwards, Stephen
• Angrish, Michelle
• Mortensen, Holly
• Carusi, Annamaria
• Gromelski, Maciej
• Lekka, Eftychia
• Virvilis, Vassilis
• Martens, Marvin
• Bonino da Silva Santos, Luiz Olavo
• Nymark, Penny

Titel

Why adverse outcome pathways need to be FAIR

Ist Teil von

• ALTEX, 2024-01, Vol.41 (1), p.50-56

Ort / Verlag

Germany: Springer Spektrum

Erscheinungsjahr

2024

Link zum Volltext

Quelle

Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals

Beschreibungen/Notizen

• Adverse outcome pathways (AOPs) provide evidence for demonstrating and assessing causality between measurable toxicological mechanisms and human or environmental adverse effects. AOPs have gained increasing attention over the past decade and are believed to provide the necessary steppingstone for more effective risk assessment of chemicals and materials and moving beyond the need for animal testing. However, as with all types of data and knowledge today, AOPs need to be reusable by machines, i.e., machine-actionable, in order to reach their full impact potential. Machine-actionability is supported by the FAIR principles, which guide findability, accessibility, interoperability, and reusability of data and knowledge. Here, we describe why AOPs need to be FAIR and touch on aspects such as the improved visibility and the increased trust that FAIRification of AOPs provides.