FAIRsharing record for: mzAPI

This FAIRsharing record describes: Based on similarities in data structure and access patterns, we suggest that fields such as astronomy are better models for proteomics data analysis (Figure 1). These fields also rely on common formats, but typically utilize binary standards such as HDF54 or netCDF5. By contrast, the commercial nature of mass spectrometry has led to the evolution of proprietary binary file formats. In light of these observations, we propose that a common and redistributable application programming interface (API) represents a more viable approach to data access in mass spectrometry.