Systematic Organization of COVID-19 Data Supported by the Adverse Outcome Pathway Framework

Systematic Organization of COVID-19 Data Supported by the Adverse Outcome Pathway Framework

Blog Article

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 click here 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 la rams crop top 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.