Introduction of a lipidomics scoring system for data quality assessment.

Area of Science:

• Lipidomics
• Analytical Chemistry
• Biochemistry

Background:

• The field of lipidomics is rapidly expanding, leading to an increased demand for robust quality standards in data reporting.
• Current lipid shorthand nomenclature is a valuable tool but lacks the granularity to fully reflect data quality.

Purpose of the Study:

• To propose a novel scoring scheme for lipidomics that quantifies the quality of reported analytical data.
• To integrate this scoring scheme with existing lipid annotation levels for a comprehensive quality assessment.

Main Methods:

• The proposed scheme considers various analytical data layers obtained from mass spectrometry, chromatography, and ion mobility spectrometry.
• Points are awarded based on the level of detail and evidence for structural information in the reported data.

Main Results:

• The scoring scheme provides a numerical abstraction of structural evidence, offering a quick assessment of data quality.
• The system correlates roughly with the detailed information available in annotated lipid compounds.

Conclusions:

• The developed lipidomics scoring scheme offers a valuable tool for internal quality control and peer review processes.
• It enhances the ability to evaluate the quality and reliability of lipidomics data at a glance, even for non-experts.