Abstract
Most journals that publish proteomics data require raw data deposition. In addition to allowing reviewers and community members to validate findings in publications, knowledge captured in proteomics data resources can enable evidence synthesis across studies, speed assay development, and improve downstream bioinformatics tools. In this session we will present a variety of proteomics data resources and how to use them. We will show examples of proteomics data and open source code reuse for both new bioinformatics data interpretations and to guide future proteomics experiments. We will also present methods to build online lab notebooks that illustrate exploratory data analysis for proteomics experiments and take researchers from raw data and data tables to publishable figures.