RTI uses cookies to offer you the best experience online. By clicking “accept” on this website, you opt in and you agree to the use of cookies. If you would like to know more about how RTI uses cookies and how to manage them please view our Privacy Policy here. You can “opt out” or change your mind by visiting: http://optout.aboutads.info/. Click “accept” to agree.
Systematic organization of COVID-19 data supported by the adverse outcome pathway framework
Nymark, P., Sachana, M., Leite, S. B., Sund, J., Krebs, C. E., Sullivan, K., Edwards, S., Viviani, L., Willett, C., Landesmann, B., & Wittwehr, C. (2021). Systematic organization of COVID-19 data supported by the adverse outcome pathway framework. Frontiers in Public Health, 9, Article 638605. https://doi.org/10.3389/fpubh.2021.638605
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.