Platform
AI & Data Mining Platform
An open cross-border web platform designed to improve access to structured knowledge about plant biodiversity, Medicinal and Aromatic Plants and related scientific resources.
Purpose
Scientific data made easier to discover and use.
The platform connects biodiversity knowledge, plant properties, scientific datasets and AI-assisted analysis in one web environment.
It is designed for different levels of interaction: public visitors can explore accessible information, while researchers and authorised users can work with richer datasets, analytical services and research workflows.
Structured knowledge base
Programmatic access
API services that allow approved systems and researchers to request data.
AI-assisted research
Core functions
One platform, multiple research pathways.
The final implementation can evolve progressively as validated datasets, services and workflows become available.
Search & discovery
Explore plants, compounds, properties, sources, studies and linked knowledge.
Data catalogue
Browse structured datasets with metadata, provenance and access information.
API access
Request selected information programmatically and support interoperability.
Research assistant
Use AI-supported workflows for literature, data exploration and evidence synthesis.
Data lifecycle
From heterogeneous sources to research-ready knowledge.
Quality, traceability and clear access rules are integrated into the platform workflow.
01
Ingest
Collect datasets, documents, inventories and validated external knowledge.
02
Clean & transform
Standardise formats, remove duplicates, map terms and preserve provenance.
03
Analyse
Run search, data mining, machine learning and AI-supported research workflows.
04
Publish & reuse
Provide results through the web interface, APIs and documented downloadable resources.
User groups
Different interfaces for different needs.
The platform should remain useful to the general public without oversimplifying the needs of specialist users. Role-based access can support public information, registered research functions and administrative data management.
Public visitor
Accessible plant and project information, visual summaries, news and educational resources.
Researcher
Advanced search, datasets, references, analytical workflows and export options.
Data contributor
Controlled submission, metadata validation and data quality processes.
Administrator
User management, taxonomies, audit trails, content review and system monitoring.