Toward a Sample Metadata Standard in Public Proteomics Repositories

Area of Science:

• Proteomics
• Bioinformatics
• Data Science

Background:

• Metadata is crucial for interpreting and reanalyzing proteomics data in repositories.
• Current proteomics data repositories often lack essential sample-to-data file metadata.
• Standardization of metadata across proteomics datasets is currently incomplete.

Purpose of the Study:

• To introduce the open-source Sample to Data file format for Proteomics (S2DFP) project.
• To address the gap in sample metadata standardization within public proteomics datasets.
• To call for community feedback and contributions to refine the S2DFP standard.

Main Methods:

• Development of an open-source project by the European Bioinformatics Community for Mass Spectrometry (EuBIC).
• Focus on standardizing the sample-to-data file relationships in proteomics metadata.
• Utilizing established data file formats like mzIdentML, mzML, and mzTab where applicable.

Main Results:

• A proposed open-source standard (S2DFP) for sample metadata in proteomics.
• Identification of missing sample-to-data file information as a key challenge in current repositories.
• The S2DFP project aims to complement existing metadata standards supported by ProteomeXchange partners.

Conclusions:

• The S2DFP project offers a solution for standardizing sample metadata in proteomics.
• Improved metadata standardization will enhance data reproducibility and facilitate tool development.
• Community engagement is vital for the successful adoption and refinement of the S2DFP standard.