Bias and a lack of demographic representation in medical data are fundamental issues holding up progress in medical research. As more and more Artificial Intelligence and Machine Learning programs come online, the quality, provenance, and representation of the data used to train them is coming increasingly into focus. This talk presents a solution to this €100BN/year medical data problem, a solution based on the principles of data altruism, privacy and consent, stakeholder incentivisation, and using the best of Web3 technologies to enable legal compliance and global scalability.