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Frontier in Public HealthJan 2021 DOI:
10.20944/preprints202101.0573.v1

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

Nymark, Penny; Sachana, Magdalini; Batista-Leite, Sofia; Sund, Jukka; Krebs, Catharine E; Sullivan, Kristie; Edwards, Stephen; Viviani, Laura; Willett, Kate; Landesmann, Brigitte; Wittwehr, Clemens
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Abstract
Adverse Outcome Pathways (AOP) provide structured frameworks for 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 to streamline collaboration between scientists across the world towards 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.
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