Systems and methods for network modelled data
Disclosed are systems and methods that provide a novel framework for the creation, management and electronic transfer of electronic, machine-readable data as tangible digital assets accessible from a network storage (e.g., blockchain, for example), which can be utilized by entities via native and/or third party software. The disclosed framework can operate by transforming data in a raw static format to a liquid format through standardization and factorization. The data can be standardized via tags associated with governance and policy frameworks, as well as infrastructure requirements. In some embodiments, the (tagged) data can be factorized to create data (or containers, data models or collections of containers/models) as labeled, intelligent data. And, the framework can then electronically transfer the labeled data. As a result, capabilities of data liquidity can be achieved via a web-agnostic storage and framework accessible through smart contracts.
1 . A method comprising;
receiving, by a device, over a network, a request from a user, the request comprising information related to the user, the request further comprising information associated with a set of data;
determining, by the device, based on analysis of the set of data information, a format of the data;
determining, by the device, factorization features of the set of data;
determining, by the device, global grid monitor (GGM) tagging for the set of data, the GGM tagging comprising data sensitivity tagging (DST) information and data terms and compliance (DTC) information attached to the set of data;
accessing, by the device, a set of application program interfaces (APIs), the set of APIs providing executable functionality for executing decision intelligence (DI) software;
performing, by the device, modelling of the set of data in accordance with the user request, the modelling comprising inputting the set of data into each of the set of APIs;
generating, by the device, a labelled data model, the labelled data model being a comprehensive analytical data structure based on the set of data and comprising information indicating at least one label and tag, the label corresponding to a context of the data model, the tag corresponding to at least one policy controlling the set of data, the tag controlling access to and audits transformation of the set of data and environments where the set of data is used, the tag comprising jurisdictionally compliant privacy, governance and access control policies based on the GGM tagging; and
executing, by the device, the labelled data model in accordance with a smart contract, the smart contract comprising a structure that corresponds to types of usage of the labelled data model.
2 . The method of claim 1 , further comprising:
outputting, over the network, for display, a user interface (UI), the UI providing a visual display of the analysis performed in the modelling of the set of data.
3 . The method of claim 1 , further comprising:
generating at least one token, the at least one token enabling access to the stored labelled data model; and
providing the at least one token to the user, the provided token being stored in a wallet of the user.
4 . The method of claim 3 , wherein the smart contract further comprises information related to access and types of usage of the at least one token.
5 . The method of claim 1 , wherein the smart contract further comprises permissions for enabling modification to the labelled data model.
6 . The method of claim 1 , further comprising:
storing, over a network, the labelled data model in data storage.
7 . The method of claim 6 , wherein the data storage is an associated blockchain.
8 . The method of claim 1 , further comprising:
receiving a request from a second user for the data model;
analyzing the request, and determining that the request is approved, the determination being based on the smart contract;
providing a token to the second user, the token being provided via a wallet transfer; and
providing access to the data model based on the token.
9 . A device comprising:
a processor configured to:
receive, over a network, a request from a user, the request comprising information related to the user, the request further comprising information associated with a set of data;
determine, based on analysis of the set of data information, a format of the data;
determine factorization features of the set of data;
determine global grid monitor (GGM) tagging for the set of data, the GGM tagging comprising data sensitivity tagging (DST) information and data terms and compliance (DTC) information attached to the set of data;
access a set of application program interfaces (APIs), the set of APIs providing executable functionality for executing decision intelligence (DI) software;
perform modelling of the set of data in accordance with the user request, the modelling comprising inputting the set of data into each of the set of APIs;
generate, a labelled data model, the labelled data model being a comprehensive analytical data structure based on the set of data and comprising information indicating at least one label and tag, the label corresponding to a context of the data model, the tag corresponding to at least one policy controlling the set of data, the tag controlling access to and audits transformation of the set of data and environments where the set of data is used, the tag comprising jurisdictionally compliant privacy, governance and access control policies based on the GGM tagging; and
execute the labelled data model in accordance with a smart contract, the smart contract comprising a structure that corresponds to types of usage of the labelled data model.
10 . The device of claim 9 , wherein the processor is further configured to:
output, over the network, for display, a user interface (UI), the UI providing a visual display of the analysis performed in the modelling of the set of data.
11 . The device of claim 9 , wherein the processor is further configured to:
generate at least one token, the at least one token enabling access to the stored labelled data model; and
provide the at least one token to the user, the provided token being stored in a wallet of the user,
wherein the smart contract further comprises information related to access and types of usage of the at least one token.
12 . The device of claim 9 , wherein the smart contract further comprises permissions for enabling modification to the labelled data model.
13 . The device of claim 9 , wherein the processor is further configured to:
store, over a network, the labelled data model in data storage, wherein the data storage comprises a blockchain.
14 . The device of claim 9 , wherein the processor is further configured to:
receive a request from a second user for the data model;
analyze the request, and determining that the request is approved, the determination being based on the smart contract;
provide a token to the second user, the token being provided via a wallet transfer; and
provide access to the data model based on the token.
15 . A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions that when executed by a device, perform a method comprising:
receiving, by the device, over a network, a request from a user, the request comprising information related to the user, the request further comprising information associated with a set of data;
determining, by the device, based on analysis of the set of data information, a format of the data;
determining, by the device, factorization features of the set of data;
determining, by the device, global grid monitor (GGM) tagging for the set of data, the GGM tagging comprising data sensitivity tagging (DST) information and data terms and compliance (DTC) information attached to the set of data;
accessing, by the device, a set of application program interfaces (APIs), the set of APIs providing executable functionality for executing decision intelligence (DI) software;
performing, by the device, modelling of the set of data in accordance with the user request, the modelling comprising inputting the set of data into each of the set of APIs;
generating, by the device, a labelled data model, the labelled data model being a comprehensive analytical data structure based on the set of data and comprising information indicating at least one label and tag, the label corresponding to a context of the data model, the tag corresponding to at least one policy controlling the set of data, the tag controlling access to and audits transformation of the set of data and environments where the set of data is used, the tag comprising jurisdictionally compliant privacy, governance and access control policies based on the GGM tagging; and
executing, by the device, the labelled data model in accordance with a smart contract, the smart contract comprising a structure that corresponds to types of usage of the labelled data model.
16 . The non-transitory computer-readable storage medium of claim 15 , further comprising:
outputting, over the network, for display, a user interface (UI), the UI providing a visual display of the analysis performed in the modelling of the set of data.
17 . The non-transitory computer-readable storage medium of claim 15 , further comprising:
generating at least one token, the at least one token enabling access to the stored labelled data model; and
providing the at least one token to the user, the provided token being stored in a wallet of the user,
wherein the smart contract further comprises information related to access and types of usage of the at least one token.
18 . The non-transitory computer-readable storage medium of claim 15 , wherein the smart contract further comprises permissions for enabling modification to the labelled data model.
19 . The non-transitory computer-readable storage medium of claim 15 , further comprising:
storing, over a network, the labelled data model in data storage, wherein the data storage comprises a blockchain.
20 . The non-transitory computer-readable storage medium of claim 15 , further comprising:
receiving a request from a second user for the data model;
analyzing the request, and determining that the request is approved, the determination being based on the smart contract;
providing a token to the second user, the token being provided via a wallet transfer; and
providing access to the data model based on the token.