Preprint Communication Version 1 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 26 January 2021 / Approved: 27 January 2021 / Online: 27 January 2021 (17:01:44 CET)

How to cite: Nymark, P.; Sachana, M.; Batista-Leite, S.; Sund, J.; Krebs, C.E.; Sullivan, K.; Edwards, S.; Viviani, L.; Willett, K.; Landesmann, B.; Wittwehr, C. Systematic Organization of COVID-19 Data Supported by the Adverse Outcome Pathway Framework. Preprints 2021, 2021010573 (doi: 10.20944/preprints202101.0573.v1). Nymark, P.; Sachana, M.; Batista-Leite, S.; Sund, J.; Krebs, C.E.; Sullivan, K.; Edwards, S.; Viviani, L.; Willett, K.; Landesmann, B.; Wittwehr, C. Systematic Organization of COVID-19 Data Supported by the Adverse Outcome Pathway Framework. Preprints 2021, 2021010573 (doi: 10.20944/preprints202101.0573.v1).

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.

Supplementary and Associated Material

https://www.ciao-covid.net/: Project website

Subject Areas

Adverse Outcome Pathways; COVID-19; mechanisms; systematic organization; interdisciplinary

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