Guide development of RDE (Research Data Express) structured programs using rdetoolkit — a Python framework by NIMS for research data registration workflows. Covers project scaffolding, dataset function implementation, processing mode selection (Invoice / ExcelInvoice / MultiDataTile / RDEFormat), template editing, schema & metadata validation via CLI, encoding-safe file I/O with rdetoolkit.fileops, and CSV-to-graph generation with rdetoolkit.graph. MUST be used whenever code imports rdetoolkit, calls workflows.run(), reads/writes JSON in research-data contexts, processes CSV for graphing, edits invoice.schema.json or metadata-def.json, or runs `rdetoolkit validate` or `rdetoolkit init` commands. Also activate when the user mentions RDE, structured processing, NIMS, materials data, research data registration, or any rdetoolkit module.
2026-03-01
