This collection hosts the outcomes from the OneSTOP project, funded under the European Union's Horizon Europe Research and Innovation programme (GA 101180559). The project aims to minimise the introduction, establishment, and spread of terrestrial invasive alien species. OneSTOP integrates new detection approaches with data dissemination methods and models to prioritise species and action through stakeholder engagement and effective management. By leveraging technologies including computer vision, environmental DNA (eDNA), and citizen science, the project is developing novel approaches for species detection. 

To support policymakers and practitioners, OneSTOP is implementing a data-driven prioritisation system that uses automated workflows, model projections, and multi-criteria analysis to assess and rank risks effectively. The project is also incorporating co-creation methodologies through five Living Labs (UK, Portugal, Romania, Belgium, Finland).

As OneSTOP progresses, the RIO Collection will continue to expand, serving as a repository for researchers, policymakers, and practitioners and offering a diverse array of reports, protocols, methodologies, and research papers.