DataScribe Workflow

The platform follows a comprehensive workflow to manage your research data:

1. Data Collection

   • Experimental Data: Mechanical tests, microstructures, phase data, etc.
   • Simulations: DFT, CALPHAD, phase stability, thermodynamic models

2. Data Ingestion via Travelers

   • Travelers function as digital forms for structured data input

3. Metadata Management

   • Data is parsed and mapped to structured relational tables
   • Used to track data lineage, conditions, instruments, and versions

4. Ontology Integration

   • Define relationships between concepts (e.g., composition → phase → property)
   • Enable semantic search and AI reasoning over heterogeneous data
   • Connect to ingested data via a knowledge graph backend

5. Digital Twin Generation

   • Data + metadata + ontology = digital twin of the material/device system