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Why Adverse Outcome Pathways Need to be FAIR
Citation:
Wittwehr, C., L. Clerbaux, S. Edwards, M. Angrish, H. Mortensen, A. Carusi, M. Gromelski, E. Lekka, V. Virvilis, M. Martens, L. Bonino, AND P. Nymark. Why Adverse Outcome Pathways Need to be FAIR. ALTEX. Society ALTEX Edition, Kuesnacht, Switzerland, 40:#, (2023). https://doi.org/10.14573/altex.2307131
Impact/Purpose:
This commentary describes the need for adopting and applying FAIR data principles to the AOP Development program to enable evolution of the AOP program with advances in technology. The FAIR data principles outline principles to enhance findability, accessibility, interoperability, and reuse of data. The commentary describes how application of these principles would enhance trust in the content within the AOPKB and Wiki and transparency in the information supporting AOPs, considering what is needed for application in chemical assessment and related regulatory decisions.
Description:
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.
