Data provisioning framework using non-fungible tokens

A system, comprising:

• a storage device configured to store a dataset associated with a data owner;
• and
• circuitry configured to:
• receive, from an account of a data user, a purchase request for a non-fungible token (NFT) that represents the dataset on a distributed ledger;
• update ownership information of the NFT on the distributed ledger to include the data user based on whether the purchase request satisfies terms associated with a sale of the NFT;
• receive an access request for the dataset;
• validate the access request based on the ownership information and whether the access request satisfies at least one of access rules for the dataset and terms associated with a usage of the dataset;
• serve, based on the validation, a copy of the dataset from the storage device to an analytics system associated with the data user;
• determine a consumption pattern of the served copy on the analytics system;
• and
• control an access to the copy of the dataset on the analytics system based on the consumption pattern.

A non-transitory computer-readable medium having stored thereon, computer-executable instructions that when executed by a system, causes the system to execute operations, the operations comprising:

• storing a dataset associated with a data owner in a storage device;
• receiving, from an account of a data user, a purchase request for a non-fungible token (NFT) that represents the dataset on a distributed ledger;
• updating ownership information of the NFT on the distributed ledger to include the data user based on whether the purchase request satisfies terms associated with a sale of the NFT;
• receiving an access request for the dataset;
• validating the access request based on the ownership information and whether the access request satisfies at least one of access rules for the dataset and terms associated with a usage of the dataset;
• serving, based on the validation, a copy of the dataset from the storage device to an analytics system associated with the data user;
• determining a consumption pattern of the served copy on the analytics system;
• and
• controlling an access to the copy of the dataset on the analytics system based on the consumption pattern.