MESSES

MESSES (Metadata from Experimental SpreadSheets Extraction System) extracts, validates, and converts metadata from experimental spreadsheets into structured formats for deposition to the Metabolomics Workbench to support FAIR-compliant metabolomics data sharing.

Key Features:

• Data Transformation Workflow: Implements a three-command workflow—extract, validate, and convert—to transform tabular experimental data into formats compatible with the Metabolomics Workbench.
• Implementation: Developed in Python 3 and supported on Linux, Windows, and Mac.
• Enhanced Metadata Capture: Facilitates richer metadata capture compared to manual efforts, improving dataset completeness and reproducibility.

Scientific Applications:

• Metabolomics data deposition: Prepares metabolomics datasets and associated metadata for submission to the Metabolomics Workbench.
• FAIR data sharing: Supports adherence to FAIR principles for making metabolomics data findable, accessible, interoperable, and reusable.
• Reproducibility and downstream analysis: Improves metadata completeness to enhance reproducibility and enable more robust downstream analyses.

Methodology:

Processes tabular data from diverse sources using three explicit commands—extract, validate, and convert—and is implemented in Python 3.