System and method of decentralized services to make federated raw data sets self-governing for secure sharing and commingling

1. A method for publishers of data sets residing in a source system to transform data sets from their native format into Self-Governing data sets, to be commingled with other Self-Governing data sets in a different data system, comprising:

providing, to a publisher source system, a Zero-Trust data sharing schema wherein the Zero-Trust data sharing schema, for each data cell of a plurality of data cells, pairs a data value element with a corresponding Self-Governing data security element specified by a publisher to immutably and persistently set a Need-to-Know policy of the data cell;

identifying a publisher source system of data from which to read data records or sets;

labeling the publisher source system with a unique identifier;

reading, from the publisher source system, into memory or from physical media one or more records of data, the data being read in its native format;

parsing into data cells each data value element in their native format as it is being read;

pairing the just parsed data value element with its corresponding Self-Governing data security element as specified by the publisher through the Zero-Trust data sharing schema;

generating, for each data cell, a new Self-Governing key-value tuple, where the tuple contains the data element value, the corresponding Self-Governing data security element value, the unique identifier of the Publisher source system of that data value element, and the datetime of the creation of the tuple.

2. The method of claim 1 , further comprising:

first, generating a new Zero-Trust data sharing schema.

3. The method of claim 2 , wherein the Zero-Trust data sharing schema is generated from a previously read array of data value elements.

4. The method of claim 2 , wherein the Zero-Trust data sharing schema is generated from a normalized schema of a data store.

5. A system comprising at least one hardware processor, the at least one processor configured to at least perform:

providing, to a publisher source system, a Zero-Trust data sharing schema wherein the Zero-Trust data sharing schema, for each data cell of a plurality of data cells, pairs a data value element with a corresponding Self-Governing data security element specified by a publisher to immutably and persistently set a Need-to-Know policy of the data cell;

identifying a publisher source system of data from which to read data records or sets;

labeling the publisher source system with a unique identifier;

reading, from the publisher source system, into memory or from physical media one or more records of data, the data being read in its native format;

parsing into data cells each data value element in their native format as it is being read;

pairing the just parsed data value element with its corresponding Self-Governing data security element as specified by the publisher through the Zero-Trust data sharing schema;

generating, for each data cell, a new Self-Governing key-value tuple, where the tuple contains the data element value, the corresponding Self-Governing data security element value, the unique identifier of the publisher source system of that data value element, and the datetime of the creation of the tuple.

6. The system of claim 5 , further comprising:

first, generating a new Zero-Trust data sharing schema.

7. The system of claim 6 , wherein the Zero-Trust data sharing schema is generated from a previously read array of data value elements.

8. The system of claim 6 , wherein the Zero-Trust data sharing schema is generated from a normalized schema of a data store.