Graph models of relationships between data stored in blocks on distributed ledgers that are learned through machine learning and platforms for creating, cataloging, and storing the same

A data storage platform comprising:

• a computational architecture providing consent-based access and sharing, and comprising a plurality of nodes that collectively implement a blockchain, the computational architecture configured to:
• store, for data associated with an owner, a consent contract specifying data governance rules;
• and
• enforce the data governance rules when processing requests to access or share the data;
• wherein each of the plurality of nodes includes a memory with instructions stored therein that, when executed by a processor, cause the processor to perform operations comprising:
• upon receiving input indicative of a request to store data on the computational architecture, create a new block that includes the data;
• and
• add the new block onto the blockchain for distribution to the plurality of nodes;
• and
• at least one system wallet for conferring rights to at least a subset of the data on the computational architecture;
• wherein, for the subset of the data, the computational architecture is further configured to store, as on-chain transaction data, information that associates a wallet identifier of a system wallet as a co-owner or co-limited owner of the subset of the data;
• and
• wherein the at least one system wallet comprises a type which defines rights to be granted by the at least one system wallet, a description providing details regarding the at least one system wallet, and an access control group representing at least one user wallet eligible to perform actions with respect to the data.