Proteins are critical in catalyzing chemical reactions, forming key cellular structures, and in regulating cellular processes. Investigation of marine microbial proteins by metaproteomics methods enables the discovery of numerous aspects of microbial biogeochemical processes. However, these datasets present big data challenges as they often involve many samples collected across broad geospatial and temporal scales, resulting in thousands of protein identifications, abundances, and corresponding annotation information. The Ocean Protein Portal (OPP) was created to enable data sharing and discovery among multiple scientific domains and serve both research and education functions. The portal focuses on three use case questions: "Where is my protein of interest?", "Who makes it?", and "How much is there?" and provides profile and section visualizations, real-time taxonomic analysis, and links to metadata, sequence analysis, and other external resources to enable connections to be made between biogeochemical and proteomics datasets.

16Proteins are critical in catalyzing chemical reactions, forming key cellular structures, and in 17 regulating cellular processes. Investigation of marine microbial proteins by metaproteomics 18 methods enables the discovery of numerous aspects of microbial biogeochemistry processes. 19However, these datasets present big-data challenges as they often involve many samples 20 collected across broad geospatial and temporal scales, resulting in thousands of protein 21 identifications, abundances, and corresponding annotation information. The Ocean Protein 22 Portal (OPP) was created to enable data sharing and discovery among multiple scientific 23 domains and serve both research and education functions. The portal focuses on three use 24 case questions: "Where is my protein of interest?", "Who makes it?", and "How much is there?", 25 and provides profile and section visualizations, real-time taxonomic analysis, and links to 26 metadata, sequence analysis, and other external resources to enabling connections to be made 27 between biogeochemical and proteomics datasets. 28 29 30 31

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