Adverse Outcome Pathways (AOP) provide structured frameworks for the systematic organization of research data and knowledge. The AOP framework follows a set of key principles that allow for broad application across diverse disciplines related to human health, including toxicology, pharmacology, virology and medical research. The COVID-19 pandemic engages a great number of scientists world-wide and data is increasing with exponential speed. Diligent data management strategies are employed but approaches for systematically organizing the data-derived information and knowledge are lacking. We believe AOPs can play an important role in improving interpretation and efficient application of scientific understanding of COVID-19. Here, we outline a newly initiated effort, the CIAO project ( https://www.ciao-covid.net/ ), to streamline collaboration between scientists across the world toward development of AOPs for COVID-19, and describe the overarching aims of the effort, as well as the expected outcomes and research support that they will provide.
【저자키워드】 COVID-19, Data integration, mechanisms, interdisciplinarity, adverse outcome pathways, systematic organization, 【초록키워드】 knowledge, COVID-19 pandemic, outcome, Health, Research, Interpretation, information, data management, Streamline, Support, Adverse, effort, approach, initiated, expected, engage, 【제목키워드】 organization, framework, Adverse,