A uniform data processing pipeline. When nanoparticles are exposed to biofluids, they are rapidly covered in a layer of ions and biomolecules. This layer, called the protein corona, is an important metric used to reveal how the body will respond to a given nanoparticle. The protein corona is usually examined using liquid chromatography-mass spectrometry (LC-MS/MS), but the results from various proteomics centers can vary dramatically. In one study only 1.8% of proteins from identical samples were consistently identified across 17 centers. However, in a follow up study that team found that using a unified data processing pipeline could greatly reduce this variability. The pipeline employed an aggregated database search. This search unified parameters like variable modifications and enzyme specificity with a stringent 1% false discovery rate. Of the 717 quantified proteins the top 5 facilities shared 35.3% of them, and the top 11 facilities shared 16.2%. The results also revealed that skipping reduction and alkylation during sample processing reduces the number of quantified peptides by 20%. The findings suggest that standardized procedures to analyze protein coronas are needed to advance clinical use of nanoparticles.