Metadata Checklist for the Integrated Personal Omics Study: Proteomics and Metabolomics Experiments.

Area of Science:

• Integrative omics
• Personalized medicine
• Data science

Background:

• Personalized, longitudinal, multi-omics data collection is crucial for understanding individual health.
• Previous studies lacked standardized methods for publishing complex omics datasets.

Purpose of the Study:

• To introduce a novel integrative personal omics profiling approach.
• To publish metadata checklists for proteomics and metabolomics datasets.
• To promote the use of data publications for omics data discoverability and reusability.

Main Methods:

• Collected genomic, transcriptomic, proteomic, metabolomic, and autoantibody profiles from one individual over 14 months.
• Developed and endorsed metadata checklists by DELSA Global for proteomics and metabolomics data.
• Published checklists as a data publication.

Main Results:

• Revealed medical risks and dynamic molecular changes in biological pathways.
• Demonstrated the utility of metadata checklists for data organization.
• Established a framework for enhanced omics data sharing.

Conclusions:

• Integrative personal omics profiling provides deep insights into individual health.
• Standardized metadata checklists are essential for omics data discoverability, interpretability, and reusability.
• Data publications with standardized checklists facilitate attribution and data sharing.