instrument-data-to-allotrope

To convert instrument output files to Allotrope ASM format, run the Python script 'convert_to_asm.py' with your input file. The tool auto-detects CSV, Excel, TSV, and PDF formats, outputting ASM JSON alongside optional flattened CSV and exportable Python parsers.

The Allotrope Simple Model (ASM) is used for standardized data exchange and LIMS/ELN integration. Converting instrument outputs to ASM JSON enables consistent downstream analytics across teams by applying provenance metadata, versioning, and validation hooks for audit readiness.

Yes, Allotrope data conversion supports PDF and Excel instrument exports natively. The tool auto-detects common output formats including CSV, Excel, TSV, and PDF, utilizing native allotropy parsing for supported formats and a safe fallback parser for unsupported ones.

Yes, you can generate exportable Python parsers from instrument data for LIMS integration. The conversion process produces multiple deliverables including ASM JSON, flattened CSV for easy import, and exportable Python parsing code for data engineers to use in pipelines.

When instrument data parsing fails for unsupported formats, the tool applies a safe fallback parser path. This ensures conversion continuity even when native allotropy parsing is unavailable, while still maintaining provenance metadata and versioning for the output ASM JSON.

Converting laboratory data to ASM improves downstream analytics by standardizing diverse instrument outputs into a uniform JSON format. This standardization, combined with provenance metadata and validation hooks, ensures reproducibility and enables seamless integration into data lakes and analysis pipelines.