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Session 3: Science, Data, Evidence for Decision-MakingThe AOP Framework Experience
Citation:
LaLone, C. AND S. Magdalini. Session 3: Science, Data, Evidence for Decision-MakingThe AOP Framework Experience. Virtual Workshop: Science with impact in an era of information overload, Duluth, MN, June 07 - 09, 2021. https://doi.org/10.23645/epacomptox.14710536
Impact/Purpose:
This presentation will be one of three presentations presented during a workshop to engage scientific societies in the implementation of the translational adverse outcome pathway (AOP) framework, which basically captures existing biological pathway information, as an initial model for how we might better deliver actionable knowledge to stakeholders in an era of data and information overload. The intent is to empower and invigorate engagement in our scientific societies as a mechanism and venue for translating science into impact. Participants of the workshop will be introduced to the AOP framework as an example translational science framework. Break-out sessions and discussions will be focused around topics like: (1) How can scientific societies help to incentivize collaborative contributions to knowledge translation in a climate where tenure, promotion, and funding are judged by individual publication records? (2) How can knowledge integration, synthesis, and translation frameworks, and their associated knowledgebases, best synergize with the traditional science publishing endeavor to increase the impact of society journal publications? (3) What role can societies play in outreach, training, and communications that foster a culture of solutions-driven science? (4) How can scientific societies employ their organization to help facilitate more effective collaboration and coordination among their members and across societies to more effectively and efficiently harness the global investments in scientific research?
Description:
Science is a massive global cross-sector endeavor. It was estimated that in 2014 there were over 28,000 active English-language peer reviewed journals with another 6000 or so non-English language journals. Collectively the scientific community is publishing over 2.5 million articles per year, with somewhere between 7 and 9 million researchers contributing. This translates to a global scientific output that doubles roughly every nine years. In parallel with the growth of traditional scientific publication there has been an explosion in access to data of all kinds via the world wide web and a rapid evolution of computational tools to manage, mine, and analyze big data. With this ever-growing deluge, how can policy-makers, regulators, non-subject matter experts, or the public navigate this sea of technical information to make decisions that are rooted in and supported by quality science? What role can scientific societies play in not only supporting this steadily growing scientific enterprise, but in helping stakeholders effectively translate and utilize this scientific information for the benefit of society? Within the fields of human health and environmental safety there has been growing interest and momentum around a science translation framework that seeks to assemble, synthesize, and evaluate technical information and scientific evidence and make it available to stakeholders in an easy to use, visual and narrative format that is readily accessible and searchable. The adverse outcome pathway (AOP) framework is founded upon a collaborative ethos in which subject matter experts contribute and combine their expertise to systematically describe cumulative and emergent knowledge that would otherwise be accessible to only a small fragment of the stakeholder community. This framework has developed with international involvement and guidance coordinated through the Organization for Economic Cooperation and Development (OECD).
URLs/Downloads:
DOI: Session 3: Science, Data, Evidence for Decision-MakingThe AOP Framework Experience
SESSION 3_THE AOP FRAMEWORK EXPERIENCE_V2.PDF (PDF, NA pp, 2752.84 KB, about PDF)