# LabDataStorageEvaluation

Build a complete, reproducible pipeline that:


Defines a simulated tribology laboratory (Sandia Pt-Au LDRD context) with real instruments and a realistic test workflow.
Generates ~150 MB of physically plausible measurement data in CSV (the canonical raw format).
Converts the CSV corpus into 4 target storage formats: JSON-LD, SQLite (optimized), PostgreSQL (indexed + partitioned), RDF TripleStore.
Benchmarks 7 laboratory-standard retrieval scenarios (Q1–Q7) against all 5 formats, measuring wall time, peak RAM, CPU utilization, disk I/O, and disk footprint.
Extrapolates measured results to 600 GB and beyond (0.6 / 1.2 / 6 TB) using complexity-aware scaling models.
Produces summary tables and charts that clearly rank storage formats for laboratory use (analysis, reporting, search/filter, archiving, inter-lab exchange).