Overall, these initial dataset submissions and tutorials leave room for a range of future expansion, until the community resource contains datasets for all properties previously and currently being explored in the field of proteomics. It is also open for user submissions, allowing researchers to upload their data in a standardized fashion for more reproducible science, along with in-depth tutorials on their data handling and ML methodologies. Our hope is that this will shape the future of predictive proteomics, in favor of being more introducible, standardized and reproducible.