Timely access to updated invasive alien species (IAS) detection and prioritisation data is crucial for effective management, resource allocation and strategy planning. OneSTOP ensures this data is available in both human- and machine-readable formats, tailored to user needs. It streamlines open (meta)data flows using domain standards and publishes them in open repositories, aligning with the FAIR principles.
Automated data flows to GBIF and GRIIS, using the Darwin Core standard and Ecological Metadata Language (EML), will enhance IAS monitoring and management while allowing integration with European initiatives like European Open Science Cloud (EOSC) and European Alien Species Information Network (EASIN). All software developed will be Open Source with a permissive licence, enabling the adaptation of OneSTOP workflows for local or national use.
In collaboration with GuardIAS, OneSTOP will launch an alert system to notify stakeholders of potential IAS introductions, complementing existing systems like EASIN. The project will also support management and awareness by testing methods for EICAT assessments, generating tailored management reports and developing interactive Shiny apps to explain Species Distribution Models, IAS prioritisation and management strategies.