Meta University/Criteria

1. Explicitly separate private and public data spaces, offer content and skills. satisfy data content privacy, avaiability, and content accountability/irrefutability based on publicly known data verification/protection mechanisms
2. Using methods and tools to accelerate data content refinement efforts, enable continuous improvement of knowledge dissemination through effective data publishing and exchange services
3. Devising a set of public infrastructure to enable objective data transaction services, evolve a sustainable governance model that allow continuous refinement and inclusion of verifiable data asset.