Hazard-Based Annotation Framework for Biodiversity Data.
Independent methodological framework providing structured biological hazard metadata (toxicity, allergenicity, invasiveness) as an annotation layer for biodiversity occurrence data ecosystems.
Based on TAI-ECOSAFE Conceptual Framework v1.2 including allergenicity assessment (150M+ affected Europeans)
Independent methodological framework for biological hazard assessment in biodiversity informatics
TAI-ECOSAFE is a methodological framework designed to systematize biological hazard information as an independent annotation layer for biodiversity occurrence data. Built on the Symbiota platform and compatible with GBIF data standards, it provides structured metadata on intrinsic hazards (toxicity, allergenicity, invasiveness) without modifying taxonomic classifications or conservation status assessments.
The framework is based on published, peer-reviewable methodology with permanent DOI identifiers and operates according to hazard-based principles established in the Conceptual Framework v1.2.
TAI-ECOSAFE is not a biodiversity classification system. It does not assign conservation value or modify taxonomic interpretation. Instead, it functions as an independent, hazard-oriented annotation layer designed to complement existing biodiversity data ecosystems.
The framework assesses intrinsic biological hazards (inherent danger properties) independent of exposure context, conservation status, or probabilistic risk calculations.
TAI-ECOSAFE is in active development and institutional validation phase. The framework welcomes academic engagement and collaborative research to advance biological hazard assessment methodology within biodiversity informatics.
Critical evaluation of assessment criteria, reproducibility standards, and scientific foundation
Integration pathways with GBIF, Symbiota, iNaturalist, and other biodiversity data platforms
Collaborative research on methodology papers, validation studies, and case study publications
Evaluation of framework positioning within research institutions and biodiversity initiatives
Research on annotation layer architecture and interoperability with existing data systems
Application of methodology in specific geographic contexts and urban biodiversity settings