Data

Data across the IBIS development pipeline

The Data generated in IBIS spans the full development pipeline:

Discovery → Characterization → Fermentation & Formulation → Field Performance

Each stage generates structured datasets that must remain comparable across experiments, sites, and time.

• Discovery: isolate metadata, taxonomy, screening results
• Characterization: assay results, microscopy distributions, metabolomics data
• Fermentation & formulation: process parameters, yields, stability metrics
• Field performance: greenhouse and field trial results, agronomic metadata

The objective is to maintain traceable links between early laboratory observations and downstream performance in fermentation and field trials.

Data Structure

IBIS data are organized in a relational database. Core entities such as isolates, assays, experiments, observations, or fermentation runs are stored as tables and linked through unique identifiers.

This structure supports:

• Traceability: Every observation links to the corresponding experiment, protocol version, and material.
• Separation of experiment and observation: Shared experimental context is stored separately from individual measurements.
• External data integration: Genome sequences, microscopy images, and other large datasets are stored externally and referenced through unique identifiers.

This structure supports data consistency, reproducibility, and long-term scalability.

Data Access
The Data page will include a data browser (under development).This interface will allow users to:

• search and filter core database tables
• explore curated datasets.

Relation to other pages

Protocols: Explains how data are generated.
Analysis: Explains how structured data are transformed into insights.