TUNGAKASIRI SORAT (US)
TUNGAKASIRI SORAT (US)
| WO2020145887A2 | 2020-07-16 |
| US20190287149A1 | 2019-09-19 | |||
| GB2572627A | 2019-10-09 | |||
| US20180262514A1 | 2018-09-13 | |||
| US20110313915A1 | 2011-12-22 | |||
| US20200051081A1 | 2020-02-13 |
| CLAIMS What is claimed is: 1. A computer-implemented method, comprising: generating, by first computing devices, raw data sets representative of activities performed by respective users while each of the users is using the Internet; determining, by a second computing device, an aggregate data value of at least a portion of an aggregate of the raw data sets, the at least a portion of the aggregate of the raw data sets being received from the users who contribute that portion of the raw data sets, the contributing users being data contributors; establishing, by the second computing device, a basis value of a cryptocurrency as a function of the aggregate data value; and regulating total quantity of the cryptocurrency in circulation as a function of the aggregate data value. 2. The method according to claim 1, wherein establishing the basis value of the cryptocurrency includes calculating the basis value as a function of the aggregate data value. 3. The method according to claim 1, wherein establishing the basis value further includes calculating the basis value as a function of the market value of the cryptocurrency. 4. The method according to claim 2, further comprising determining market value of the cryptocurrency based on the cryptocurrency exchange value and/or volume of cryptocurrency exchanges. 5. The method according to claim 1, further comprising calculating, by the second computing device, individual data value of at least a portion of each of the raw data sets as an apportionment from the aggregate data value; calculating, by the second computing device, an amount of cryptocurrency to be distributed to each of the respective users as a function of the individual data value; and automatically distributing the calculated amount of cryptocurrency to the respective users. 6. The method according to claim 5, wherein automatically distributing the calculated amount of cryptocurrency to respective users includes automatically applying the calculated amount of cryptocurrency to the respective users via digital wallets. 7. The method according to claim 5, wherein calculating an amount of cryptocurrency to be distributed includes periodically calculating an amount of cryptocurrency. 8. The method according to claim 7, wherein periodically calculating an amount of cryptocurrency includes calculating an amount of cryptocurrency to be distributed to each of the respective users on a quarterly basis. 9. The method according to claim 1, wherein further comprising: executing, by the first computing device, a browser that enables a user to access the Internet; enabling the users via the browser to opt into the browser to collect the raw data sets as the users use the browser to perform the activities on the Internet; and collecting, by the browser, opt-in activities performed by the respective users on the Internet. 10. The method according to claim 9, further comprising: enabling, by the first computing devices from respective users, personal identifiable information (PII) of the users inclusive at least of demographic and financial parameters; receiving, by the first computing devices from the respective users, at least a portion of the PII submitted by respective users; and wherein determining an aggregate data value further includes determining an aggregate data value by using both the at least a portion of the PII in addition to the at least a portion of the raw data sets of the respective users; wherein calculating individual data value includes calculating individual data value using both the at least a portion of the PII and at least a portion of the raw data sets of the respective users. 11. The method according to claim 10, further comprising parsing and recording, by the first computing device, selectable PII data chosen by the Smart Contract owner. 12. The method according to claim 10, further comprising enabling the user to turn ON and turn OFF the collection of selectable PII and selectable raw data associated with Internet usage via a browser that enables the user to perform Internet usage. 13. The method according to claim 9, wherein calculating, by the second computing device, an amount of cryptocurrency includes applying weightings to the demographic and financial parameters submitted by the respective users. 14. The method according to claim 9, wherein collecting, by the browser, includes storing data of the opt-in activities on the Internet of the users on blockchains associated with the respective users. 15. The method according to claim 9, further comprising: enabling, by the browser, the users to select types of PII and opt-in activities collected as portions of the raw data sets to submit; and wherein determining, by the second computing device, the aggregate data value of the at least a portion of an aggregate of the raw data sets includes determining an aggregate data value of the opt-in activities, the aggregate data value being a function of commercial value of the opt-in activities. 16. The method according to claim 9, further comprising: generating terms and rules of a smart contract for each of the users; applying the terms and rules to the respective smart contracts; and storing the smart contracts with the terms and rules onto the respective blockchains, thereby causing a browser that supports, monitors, and records Internet usage by the user to be collected as opt-in activities based on the terms of the smart contract. 17. The method according to claim 16, further comprising: enabling, by the first computing devices of respective users, personal identifiable information (PII) of the users inclusive at least of demographic and financial parameters to be submitted; applying the PII of the users to respective smart contracts; and enabling, by the first computing devices, the respective users to select activities on the Internet as raw data sets to submit for individual data value. 18. The method according to claim 17, further comprising storing the smart contracts of respective users onto blockchains of the respective users. 19. The method according to claim 17, further comprising executing an artificial intelligence algorithm to determine one or more categories in which the respective users are identified based on the activities on the Internet stored on the respective blockchains. 20. The method according to claim 17, further comprising enabling the user to change the submitted PII and reselected activities on the Internet as raw data sets to submit for individual data value. 21. The method according to claim 1, wherein automatically regulating total quantity of the cryptocurrency in circulation includes: releasing reserve minted cryptocurrency into circulation in response to the basis of the aggregate data value increasing; and collecting the cryptocurrency from circulation. 22. The method according to claim 1, further comprising submitting at least a portion of the raw data sets for copyright protection to a governmental organization. 23. The method according to claim 1, further comprising: generating work tokens for each of the data contributors, the work tokens storing personally identifiable information (PII) and digital footprint along with data value; assigning data value to the work token; and storing the data value in the work token, the work token being a non-fungible token (NFT). 24. The method according to claim 23, further comprising enabling the work tokens to communicate with one another using artificial intelligence directly or indirectly. 25. The method according to claim 23, further comprising: establishing an application with which each of the NFTs are able to communicate using artificial intelligence and machine learning to receive and respond to commercial offers, social causes, or directly between and amongst the NFTs; and in response to the application determining that a first and a second NFT have a commonality, algorithmically causing the first and second NFTs to communicate with one another on an opt-in basis to establish shared affinities to form groups of personal NFTs interacting on the basis of the shared affinities. 26. The method according to claim 23, further comprising determining, using artificial intelligence and/or machine learning, commonality of first and second NFTs. 27. The method according to claim 23, further comprising: establishing an application with which each of the NFTs are able to communicate; and in response to the application determining that a first and a second NFT have a commonality determined by artificial intelligence and machine learning, enabling users associated with the respective NFTs to engage with the application. 28. The method according to claim 23, wherein enabling the users to engage with the application includes enabling the users to engage with dating or other type of electronic human affinity interaction applications. |
[00189]
[00190]
[00191] The three examples depicted in FIG. 2B as depicted above show different PII and digital tracking data’s 70A commercial worth input values 70B and information. FIG 2B includes the uniform PII and digital footprint data that are inputted 70A by two representative males, respectively Work Token 70 Silos #1 and #2 and one female represented by Work Token 70 Silo #3. FIG. 2B furthermore shows how representative non-exclusive PII and digital footprint information 70A is selectively and collectively inputted and captured within a Work Token 70. This PII and digital footprint 70A is then transformed or converted 74 through artificial intelligence and machine learning mechanisms 75 into a PIICOIN cryptocurrency value 70C. Note, that three different PIICOIN cryptocurrency award values (“XXX” vs. “XX” vs. “X”) 70C are assigned depending on value of the data of the Work Token 70 Data Contributor 10/10A. [00192] In an alternative embodiment, the Pie Crust that is represented as a ring that encircles an outer circumference of the pie may be colored based on a user’s online usage. As an example, a person who performs a lot of online shopping may have a certain color, someone who partakes in social media may be assigned with another color, left and right political activities with yet another color (e.g., red and blue), or a combination of colors, either mixed or distinct, based on a collective nature of a user’s online presence. The colors may be assigned by an AI engine (e.g., neural network) configured to identify a categorize a user’s interests and behaviors. As another example, the AI engine may attempt to identify a user’s personality traits to generate a color map that may align with traditional or proprietary personality trait quadrants. [00193] Work Token Value Creation and Differentiation [00194] FIG. 3 is an illustration that represents the Smart Contract Work Token 70 that captures any Internet user’s opt-in PII/digital footprint data 70A from a plurality of devices 30, 40, 50 using a Browser protocol 20 that a prospective Data Contributor 10/10A agrees to use via fulfilling the Smart Contract 60 to capture, populate, deposit, imprint, blockchain-copyright, non-fungible tokenize, cleanse, sort, configure and assign or license or share ownership 20A of data onto the Work Token 70. [00195] Once a Smart Contract 60 is created, the SCIP 80 generated Work Token 70 stores an individual’s opt-in PII/digital footprint data asset 70A. The SCIP system 80 captures, deposits, stores, configures, analyzes and converts said opt-in PII/digital footprint 70A into a stored data commercial value 70B which is subsequently transformed into a distinct data-asset backed PIICOIN 70C value or other form of valuable recompense ascribed by the SCIP system 80. The SCIP 80 issued Work Token 70, understood as a combination of the SCIP owner’s 10/10A opt-in PII/digital footprint asset 70A combined with the resultant ascribed value 70B as depicted, could represent any number of different values as suggested by the illustration, but, is ultimately assigned a value in time 70B which may become or take the form of a distinct PIICOIN 70C data-asset-backed PIICOIN or other form of recompense. The selected SCIP value 70B is then assigned to the specific SCIP 80 issued Work Token 70 which had generated the opt-in PII/digital footprint data asset 70A. The SCIP’s value 70B now transformed into a distinct data-asset backed PIICOIN 70C value or other form of valuable recompense transmitted to the Data Contributor 10/10A and held through a digital wallet 10B. [00196] In various embodiments, the specialized Browser 20 installed on the Data Contributors 10/10A computing devices 30, 40, 50 may be constructed to allocate one or more processes including the blockchain-copyright function 20A that comprise part of the SCIP data intake and processing system 80. The one or more software applications embedded into the Data Contributors’ 10/10A computing devices 30, 40, 50, could be configured to allow access to the one or more computer networks supporting the SCIP data intake and processing system 80. Therefore, said SCIP data intake and processing system 80 system may then be designed to accept from one or more computing devices 30, 40, 50 interfacing with the SCIP data intake and processing system 80 system via a Firewall or other digital security measures one or more networks inputting raw PII/ digital presence/footprint data 70A to create sorted, tiered, and group specific data silos 70A for analysis, parsing, grouping, tiering, interrelating and storage to appoint a commercial value 70B in time of said data 70A [00197] In particular embodiments, the SCIP system 80 is configured to: (1) generate a Work Token 70 data asset bundle model for one or more data asset bundles 70A that was blockchain copyright protected 20A, imprinted, cleansed, sorted, analyzed, communicated, and configured to both safeguard and monetize said data 70A; (2) generate a data asset class inventory commercial value 70B for each of the one or more Data Contributors 10/10A; and (3) map one or more relationships between one or more aspects of the data owners’ inventory, the one or more data asset bundles, etc. within the particular data model. The SCIP data intake and processing system 80 may be organized to provide an explanation of the data categories, groupings, tiers, interrelations, and other organizational data parsing and siloing features for interested third party-data acquirers 90. In other embodiments, the SCIP data intake and processing system 80 may be designed to avail itself one or more machine learning techniques to recognize certain types of combined PII and digital presence/footprint data 70A such as, for example, the geographical state or country where PII/ digital presence/footprint 70A data originates. [00198] In a particular embodiment, an individual Data Contributor 10/10A serves as a primary data asset bundle 70A associated with a specific processing activity central to the development of the SCIP data storage system 80 that is correspondingly configured to build a SCIP data model 80 associated with the particular data intake processing Work Token’s 70 activity. Furthermore, in particular embodiments, the SCIP system 80 is configured to identify an individual Data Contributor /10A by scanning a central or, alternatively, a plurality of computer systems associated with a particular individual Data Contributor 10/10A. In various embodiments, the SCIP system 80 is configured to identify an individual data producer-owner 10/10A from a plurality of data individual Data Contributors 10/10A identified, distinguished, and differentiated in response to completion and submission of a plurality of individual Data Contributor 10/10A users from the unique blockchain copyrighting 20A of an individual’s Work Token’s 70 Personal Data. [00199] Data Monetization [00200] FIG. 3A represents an example of the system whereby a human 10 generates opt-in monetizable PII/digital footprint data 70A and a resulting commercial value 70B (collectively 70) that is captured via the SCIP system 80 and sold to data monetizers 90 whereby the fiat proceeds 208 of said sale are funneled back 208 to the SCIP system 80. The SCIP system 80 assigns and issues a subsequent recompense value 70C via a data-asset- backed PIICOIN 70C of one or more PIICOINs 70C which is distributed to the Data Contributor 10/10A through the SCIP owner’s digital wallet 10B. In an embodiment, the Data Contributor 10/10A may contractually be provided services (e.g., via a Smart Contract) by a service provider, and rather than the Data Contributor 10/10A being paid by the data- asset-backed PIICOIN 70C, the service provider may be paid by the platform into a service provider digital wallet 10C. Because the contracts between the service provider and Data Contributor 10/10A and Data Contributor 10/10A and cryptocurrency platform may both be smart contracts, the smart contracts may function to cause the payments to automatically be made when the platform is to pay the Data Contributor 10/10A. And, because the Data Contributor 10/10A has a smart contract with the service provider (e.g., insurance company), in the event of an incident (e.g., hurricane), the smart contract may automatically trigger payment from the insurance company to the digital wallet 10B (payment path not shown between account of the service provider and digital wallet 10B) of the Data Contributor 10/10A in response to the service provider’s obligations as a result of the incident. [00201] This same FIG. 3A also represents an example of the system whereby a human 10 generates opt-in monetizable PII/digital footprint data 70A and a commercial value 70B within a Work Token 70 that is captured and analyzed via the SCIP system 80 to offer special, customized offers 209 to the Data Contributor 10/10A from the SCIP’s Purchasing Collective 100. Should the Data Contributor 10/10A choose to purchase the special, customized offer from the Purchasing Collective 100, the goods/services 211 are delivered to the Data Contributor 10/10A while a fiat payment commission 212 is remitted to the SCIP Issuer 80 in return for generating the sale 210 part of which supports the data asset-backed PIICOIN 70C. [00202] In certain embodiments, the one or more computing networks tethered to the SCIP data intake and processing system 80 creates one or more restricted networks. In further embodiments, the one or more computing networks create one or more network portions connected via one or more secure appropriate routers, one or more secure appropriate network hubs, one or more secure appropriate network switches. In various embodiments, a data model generation system may, on behalf of a particular third-party data purchaser 90, produce a SCIP data model 80 that encompasses a plurality of processing activities including Work Token 70 applications. In other embodiments, the system may be configured to produce a discrete data SCIP model 80 for each of a plurality of Work Token 70 processing activities undertaken. [00203] The blockchain copyrighted 20A data asset SCIP model 80 may further comprise one or more individual Data Contributor’s 10/10A assets 70A to create an assemblage of SCIP system’s 80 data assets 70A housed in the SCIP issued Work Tokens 70. The exemplary data model 20, 20A, 60, 70, 80 depicted in this figure assets comprises a Data Contributor’s 10/10A individual assets 70A pooled a data subject into a collection of the SCIP system’s 80 data asset Work Tokens 70 that are blockchain copyright protected 20A, imprinted, cleansed, and analyzed. In addition, these data assets or Work Tokens 70 are sorted, analyzed, communicated, and configured to monetize said data by offering sub- groupings and tiers of data customized to the wants and needs of third-party data purchasers 90. [00204] The System may, for example, store the Work Token 70 data assets model in the one of more SCIP system models 80. In various embodiments, producing the Work Token 70 data model comprises producing a data structure Work Token 70 that encapsulates information pertaining to one or more data asset Work Token bundles 70 along with attributes 70A/70B and other elements that make up the SCIP 80 generated Work Token 70 data model. As may be understood in light of this disclosure, the one or more Work Token(s) 70 data assets may include any Work Token 70 data assets 70A that may be similar, related to one another, or grouped together as similar Work Token 70 data bundles 70A. In certain embodiments, the one or more Work Token’s 70 data assets 70A may be related as they are attributed to an individual Data Contributor 10/10A or group of similarly data defined Data Contributors 10/10A or groups of Data Contributors 10/10A. [00205] The SCIP system 80 generates Personal Data inventory 70A from individual Data Contributors 10/10A. Said Personal Data inventory 70A may include attributes 70A associated separately with each and every individual Data Contributors 10/10A who, when machine-grouped together in different tiers and sub-groups 70A according to their respective data attributes 70A, comprise a plurality of from individual Data Contributors 10/10A. Best understood in light of this disclosure, the SCIP system 80 may be configured to generate the one or more Data Contributors 10/10A placeholder fields based at least in part on, for example: (1) the type, disclosure, and breadth of the Work Token 70 data inputted by the individual Data Contributor 10/10A; (2) one or more third party data purchasers 90 utilized by the SCIP system 80; and (3) the number of internal and external collection or storage assets typically associated with the SCIP repository system 80. [00206] In analyzing one or more of the SCIP system’s data asset inventories 80 for each of the one or more the Work Tokens 70 data subsets the SCIP data model 80 has organized, the SCIP system 80 may, for example, recognize one or more specific data attributes 70A that are siloed into one or more data SCIP system inventories 80. In various embodiments, the SCIP system 80 may use artificial intelligence and specialized algorithms evaluate one or more Work Token(s) 70 data assemblies related to with the SCIP system data model 80 to recognize and act upon one or more of the SCIP system’s 80 data asset Work Token 70 inventories. The SCIP system 80 is designed to construct a large body of vetted SCIP 80 data assemblages or Work Tokens 70 to identify inventory attributes for each of the known Work Tokens 70 data assets 70A. [00207] In certain embodiments, the SCIP data intake and processing system 80 system is designed to provide third-party data purchasers 90 contractual and interface access the SCIP data intake and processing system 80 to enable harvesting specific PII/ digital presence/footprint data 70A categories of commercial, policy or academic interest for each of a plurality of respective data subjects, as described herein. [00208] In certain embodiments, the SCIP data intake and processing system 80 may be constituted to allow individual Data Contributors 10/10A whom the SCIP data intake and processing system 80 has identified as sharing certain similar data attributes 70A to communicate with other Data Contributors 10/10A via their respective Work Tokens 70 regarding commercial offers and social opportunities that might interest said individual data producer-owner parties via their respective Work Tokens 70. In response to this feature, the SCIP data intake and processing system 80 may impose corporate type or governing rules how these Data Contributors 10/10A may form an organic purchasing group seeking certain goods or services that the SCIP data intake and processing system 80 may locate for them at the most competitive pricing by harnessing the power of, for example, a like-minded and like-financially situated group of people. In certain embodiments, the SCIP data intake and processing system 80 may, for example, affirmatively or negatively respond to a request by an organically formed group of Data Contributors 10/10A for certain goods or services if these goods and services are, indeed, available to said Data Contributors group 10/10A. In further response to this feature’s social opportunities, the SCIP data intake and processing system 80 may impose corporate type or governing rules via Work Token 70 interactions and corresponding inter-relatability to suggest a particular or set of Social Collectives that might interest Data Contributors 10/10A to join. [00209] Similarly in certain embodiments, the SCIP data intake and processing system 80 may be designed to automatically decide one or more actions to take in response to a current request from group of Data Contributors 10/10A. Accordingly, for example, the SCIP data intake and processing system 80 may: (1) compare the number of interested like-minded, like-financially, and geographically similar potential Data Contributors 10/10A who might become purchasers 10/10A; (2) recognize how many of these interested parties have committed and purchased other offers secured and proffered by the SCIP data intake and processing system 80; (3) offer the proposed deal; (4) facilitate the group purchase; (5) take a commission from said purchase; (6) ensure the goods or services are delivered to its constituent of Data Contributors 10/10A. [00210] Cryptocurrency Valuation and Regulation [00211] With regard to FIG. 3B, an illustration of an illustrative cryptocurrency environment 300 may be configured to regulate an amount of cryptocurrency in circulation based on underlying data asset value produced by Data Contributors 10/10A is shown. In an embodiment, an amount of cryptocurrency 70C placed into public circulation 227 to be held by public cryptocurrency owners 230, which may include distributing the cryptocurrency 70C as compensation to Data Contributors 10/10A, who are also owners of the cryptocurrency 70C, may be automatically regulated, as further described herein. In an embodiment, an Individual Value Data Calculator 218A may govern and support an Aggregate Data Value Calculator 218B in that calculations by the Individual Value Data Calculator may be provided to the Aggregate Data Value Calculator 218B. The Aggregate Data Value Calculator 218B may be used to determine total amount of value of data produced by a collective Data Contributors 10/10A. [00212] A Cryptocurrency Basis Value Calculator 218C may be used to calculate value of the cryptocurrency based on cumulative average fiat of individual data value 70B of the Data Contributors 10/10A. The Calculator 218C may generate a cryptocurrency basis value 70B′ that may be communicated to a cryptocurrency regulator 219 for use in regulating an amount of cryptocurrency in circulation, as further described herein. The Calculators 218A, 218B, and 218C may be executed on a periodic or aperiodic basis to calculate respective data values. [00213] These two respective Calculators 218A and 218B may, in turn, interact with the Cryptocurrency Regulator 219 in which a Cryptocurrency Circulation Regulator Module 219A and Cryptocurrency Self-Auditor Module 219B to respectively determine an aggregate amount of cryptocurrency 70C in circulation and perform supply metric calculations (e.g., cryptocurrency supply M1, M2, M3, etc. calculations), as further described herein. In an embodiment, the Module 219A may utilize AI and/or ML to calculate statistics and regulate an amount of cryptocurrency in public circulation 227. [00214] The SCIP 80 may automatically distribute 220A the calculated amount of cryptocurrency 70C as sourced 84 from the Minted Coin Bank 86 (i.e., a reserve with minted cryptocurrency not in circulation) to the respective Data Contributors 10/10A through their digital wallets 10B. The minted coin bank 86 may be used as a repository of all minted cryptocurrency 70C. As shown, the cryptocurrency 70C may be put into circulation via the cryptocurrency exchange platforms 226. This aggregate cryptocurrency amount may be automatically regulated based on, at least in part, results from the Calculators 218A-218C and Modules 219A-219D (optionally incorporated into the SCIP 80) the total quantity of the cryptocurrency 70C in circulation. Data Contributors 10/10A and other cryptocurrency holders 240, which may also include the Data Contributors 10/10A, may sell or exchange their cryptocurrency holdings 70C on public Cryptocurrency Exchange Platforms 226. In an embodiment, the Modules 218A, 218B, 219A, and 219B are interdependent in that calculations from one calculator (e.g., calculator 218A) may be used by another calculator (e.g., calculator 218B). [00215] The cryptocurrency regulator 219 may further include a cryptocurrency distributor and retractor 219D that may be configured to distribute and retract cryptocurrency 70C that is in circulation as a function of results of the calculators 218A and 218B along with the Modules 219A and 219B. The aggregate supply of cryptocurrency 70C may be a function derived from the basis of the aggregate data value determined by the individual data value 70B of the collective Data Contributors 10/10A. In an embodiment, the cumulative data value 70B may be calculated as cumulative fiat value associated with the collective Data Contributors 10/10A, and may be performed on a periodic or aperiodic (e.g., event driven) time interval. Through programmed parameters, the Cryptocurrency Regulator 219 may utilize the Cryptocurrency Circulation Regulator Module 219A to determine how to regulate the cryptocurrency in circulation based on results from the Modules 218A and 218B. [00216] The Cryptocurrency Circulation Regulator Module 219A may be configured with an artificial intelligence engine (not shown) and/or machine learning engine (not shown) to regulate the amount of cryptocurrency 70C to be placed or withdrawn in circulation based on the valuation of the aggregate data value 70B. This valuation may be influenced on the open market through cryptocurrency exchange platforms 226 or based on another machine learning calculus. In one embodiment, information, such as Cryptocurrency Exchange Value and Volume 228, may be communicated from the cryptocurrency exchange platforms 226 and used by the Regulation of Cryptocurrency Circulation Regulator Module 219A to influence cryptocurrency regulation (e.g., amount of the cryptocurrency 70C of the cryptocurrency 70C in circulation). In an embodiment, the Cryptocurrency Exchange Value and Volume 228 data may be utilized by the Module 219A to determine whether to partition into smaller fractions of existing cryptocurrency 70C, issue additional cryptocurrency 70C, or otherwise adjust the cryptocurrency in circulation. [00217] The Regulation of Cryptocurrency Circulation Regulator Module 219A may further be configured to operate autonomously or receive certain parametric inputs (e.g., range of cryptocurrency allowed to be in circulation at any given time) in providing rules for the Module 219A. As noted, the SCIP 80 calculates an amount of cryptocurrency 70C to both be distributed 220A to each Data Contributor 10/10A, and, hence, all aggregate Data Contributors 10/10A on a quarterly or other set time basis along with the cryptocurrency owners 230 (who may or may not be Data Contributors 10/10A). In other words, the cryptocurrency owners 230 may acquire the cryptocurrency 70C by being (i) Data Contributors 10/10A, (ii) purchasers via cryptocurrency exchange platforms 226, or (iii) otherwise (e.g., receive cryptocurrency 70C via payment in any other manner). In addition, cryptocurrency distributor and retractor 219D may be configured to automatically or semi- automatically (e.g., interact with a human to approve a change before performing any or any major adjustment to the cryptocurrency supply in circulation). In an embodiment, the cryptocurrency distributor and retractor 219D may utilize artificial intelligence, machine learning, or any other programmatic configuration to automatically monitor and regulate the amount of cryptocurrency in circulation. [00218] As previously described, the cryptocurrency distributor and retractor 219D utilizes the aggregate data value created by the Data Contributors 10/10A as a basis of the overall fiat value of the cryptocurrency in circulation, which may be used by the cryptocurrency distributor and retractor 219D to perform the functions of distributing and retracting the cryptocurrency in circulation, as shown. In a non-limiting embodiment, the cryptocurrency distributor and retractor 219D may perform distribution of the cryptocurrency 70C by (i) electronically distributing the cryptocurrency 70C to digital wallets 10B of Data Contributors 10/10A on a periodic or aperiodic basis in response to producing monetizable data, (ii) to the cryptocurrency exchange platforms 226, or (iii) otherwise. In a non-limiting embodiment, the cryptocurrency distributor and retractor 219D may perform retraction of the cryptocurrency 70C from circulation through (i) open market repurchases via the cryptocurrency exchange platforms 226, (ii) direct buy-back offers from the Data Contributors 10/10A and/or cryptocurrency. [00219] In another embodiment, the SCIP 80 through its respective interdependent Calculators (Individual Data Value) 218A, (Aggregate Data Value) 218B, (Cryptocurrency Circulation Regulator Module 219A) and (Self-Auditor Module 219B) may determine to decrease the amount of cryptocurrency 70C in circulation. This is accomplished by fractionating the shares of cryptocurrency 70C issued to Data Contributors 10/10A in return for monetization of their combined PII and Digital footprint 70A. The cryptocurrency may be fractionated up the sixteenth decimal. As an example, the respective Calculators 218A- 218C and Modules 219A-219D, optionally working in concert, may determine that the cryptocurrency 70C should be divided into 10 parts (similar to a US dollar being partitioned into 10 dimes) if the Individual Data Calculator 218A feeds the Aggregate Data Calculator 218B information that the Individual Data Value (combined PII and digital footprint 70A) has, on gross average, risen above a $200 USD mark. Hence, the aggregate of Data Contributors 10/10A are valued at an average of $200 apiece (used by potentially thousands or millions of people). As a result, the SCIP 80 may determine that fractionated cryptocurrency distributions 220A shall be made as a function of the individual Data Contributor’s 10/10A value 70B as represented and distributed by a cryptocurrency value 70C. Therefore, in this example, if a Data Contributor’s combined PII and digital footprint 70A were to be calculated to be $80 and the current market value of the cryptocurrency is $200, the Data Contributor 10/10A would receive four one-tenths (200/80) of a cryptocurrency 70C coin. The regulation of the cryptocurrency 70C through reacquisition may best be analogously described or compared to share or stock splits by a company. [00220] In a further embodiment, as an example of how the interdependent Calculators 218A, 218B and Modules 219A, 219B, 219C may regulate the withdrawal of cryptocurrency 70C and thus decrease the amount of cryptocurrency 70C in market circulation, the Individual Data Value Calculator 218A could determine that should the Individual Data Value (the total combined PII and digital footprint 70A produced by all current Data Contributors 10/10A) falls below $100 USD, a designated amount the cryptocurrency 70C may be reacquired by the SCIP 80 through the Modules 219A and 219B. The withdrawal 84 of cryptocurrency can be accomplished through open market purchases. The regulation of the cryptocurrency 70C through reacquisition may best be analogously described or compared to share or stock repurchases by a company. [00221] With further regard to FIG. 3B, an illustration of an embodiment of cryptocurrency 70C being placed into public circulation to both Data Contributors 10/10A and/or cryptocurrency owners 230. The Data Contributors 10/10A may earn cryptocurrency 70C by performing work (e.g., providing their respective PII and using a specialized browser that maintains their respective data under their control), and may be configured to regulate in part using an Individual Value Data Calculator 218A to determine value of the PII and digital footprint 70A to generate Data Value 70B. The collective Data Value of the Data Value 70B may governs and supports an Aggregate Data Value Calculator 218B, which calculates the collective data value that may be used to be an underlying value of the cryptocurrency 70C. The results of the two respective Calculators 218A and 218B be used by a Cryptocurrency Regulator 219 with a Cryptocurrency Circulation Regulator Module 219A and Cryptocurrency Self-Auditor Supply Metric Calculators 219B to mutually determine an aggregate amount of cryptocurrency 70C to be distributed 220A to each respective Data Contributors 10/10A as a function of the individual data value 70B and, hence, all Data Contributors 10/10A for an aggregate Data Value 218B. The SCIP 80 automatically distributes 220A the calculated amount of cryptocurrency 70C as sourced 84 from the Minted Coin Bank 86 to the respective Data Contributors 10/10A through their digital wallets 10B. This aggregate cryptocurrency amount is automatically regulated through a series of interdependent Calculators 218A, 218B and Modulators 219A, 219B, 219C (incorporated into the SCIP 80) the total quantity of the cryptocurrency 70C in circulation. Data Contributors 10/10A may sell or exchange 224 their cryptocurrency holdings 70C on public Cryptocurrency Exchange Platforms 226. [00222] This regulation of cryptocurrency 70C in circulation is a function derived from the basis of the aggregate SCIP 80 platform’s data value (cumulative fiat value 70B of all Data Contributors 10/10A as converted into a cumulative cryptocurrency value 70C) within the SCIP 80 at a given interval in time. Through programmed parameters, artificial intelligence and/or machine learning may regulate the amount 220 of cryptocurrency 70C to be placed into or withdrawn from circulation based on the cryptocurrency’s 70C valuation. This valuation may be, in part, determined on the open market through cryptocurrency exchange platforms 226 or based on another machine learning calculus. As noted, the SCIP 80 calculates an amount of cryptocurrency 70C to both be distributed 220A to each Data Contributor 10/10A, and, hence, all aggregate Data Contributors 10/10A on a quarterly or other set basis along with the public 230 (who do not wish to become Data Contributors 10/10A) who simply wish to acquire the cryptocurrency 70C from cryptocurrency exchanges 226. In addition, the Calculators 218A, 218B and Modules 219A, 219B, 219C may determine, once again through programmed machine learning parameters, to retract 84, and thus decrease certain amounts of cryptocurrency 70C from the market through open market repurchases 226 or direct buy-back offers from Data Contributors 10/10A. It should be understood that some or all of the Calculators 218A, 218B and Modules 219A, 219B, 219C may be utilized in performing the cryptocurrency regulation and that the functionality performed by the Calculators and Modules may be represented in different manners. [00223] In another embodiment, the SCIP 80 through its respective Calculators (Individual Data Value) 218A, (Aggregate Data Value) 218B, (Cryptocurrency Circulation Regulator Module) 219A, (Self-Auditor) 219B, (Metrics) 219C may determine to decrease the amount of cryptocurrency 70C in circulation. This is accomplished by fractionating the shares of cryptocurrency 70C issued to Data Contributors 10/10A in return for monetization of their combined PII and Digital footprint 70A. The cryptocurrency may be fractionated up the sixteenth decimal. As an example, the respective Calculators, working in concert, could determine the cryptocurrency 70C should be divided into 10 parts (similar to a US dollar being partitioned into 10 dimes) if the Individual Data Calculator 218A feeds the Aggregate Data Calculator 218B information that the Individual Data Value (combine PII and digital footprint 70A) has, on gross average, risen above a $200 USD mark. Hence, the aggregate of Data Contributors 10/10A are valued at an average of $200 apiece which could be thousands to millions of people. As a result, the SCIP 80 determines that fractionated cryptocurrency distributions 220A shall be made as a function of the individual Data Contributor’s 10/10A value 70B as represented and distributed by a cryptocurrency value 70C. Therefore, in this example, if a Data Contributor’s combined PII and digital footprint 70A were to be calculated to be $80 70B and the current market value of the cryptocurrency was $200, the Data Contributor 10/10A would receive four one-tenths (200/80) of a cryptocurrency 70C coin. The regulation of the cryptocurrency 70C through reacquisition may best be analogously described or compared to share or stock splits by a company. [00224] In a further embodiment, as an example of how the Calculators 218A, 218B and Modules 219A, 219B, 219C may regulate the withdrawal of cryptocurrency 70C and thus decrease the amount of cryptocurrency 70C in market circulation, the Individual Data Value Calculator 218A could determine that should the Individual Data Value (the total combined PII and digital footprint 70A of current Data Contributors 10/10A) fall below $100 USD, a designated amount the cryptocurrency 70C will be reacquired by the SCIP 80 through the Regulation 219A and Self-Auditing 219B Calculators working in concert. Said withdrawal 84 of cryptocurrency can be accomplished through open market purchases. The regulation of the cryptocurrency 70C through reacquisition may best be analogously described or compared to share or stock repurchases by a company. [00225] Automatic Auditing and Cryptocurrency Metrics [00226] With further regard to FIG. 3B, and in particular with the Cryptocurrency Self-Auditor Module 219B, the system may be configured to perform automatic self-auditing. Automatic self-auditing may be used to track and account for cryptocurrency (e.g., Crypto Coin) that is distributed and exchanged. In an embodiment, one or more software modules may be configured to monitor cryptocurrency transactions that are performed by the system, which is generally a peer-to-peer distributed platform on which users are able to exchange cryptocurrency at any fractional denomination. The cryptocurrency itself may be configured to be self-reporting, digital wallets may be configured to be self-reporting, and/or Smart Contracts may be configured to be self-reporting. In an alternative embodiment, a software module may be configured to inspect blocks of data on one or more blockchains associated with cryptocurrency exchanges, where the blocks of data may include metadata representative of transfers and/or transactions of the cryptocurrency. In summary, a centralized or distributed set of software modules may be configured to perform automatic auditing on existing cryptocurrency that has been supplied to the digital market. In an alternative embodiment, rather than using software modules per se, a cryptocurrency and/or blockchain platform may be established that automatically tracks and self-reports or is capable of being polled so as to enable a fully transparent automatic audit of cryptocurrency in the market. Because the platform may be configured to be automatic, additional detail may be provided, such as report the financial strength of the current owner, type of current owner, commercial versus consumer, and so on so that additional information may be gleaned from the automatic auditing. [00227] In addition to self-auditing module 319B, the Cryptocurrency Metrics Module 319C may support monetary metrics that analysts may utilize to determine the “health” of the cryptocurrency and ecosystem (e.g., marketplace(s)) being supported by the cryptocurrency. For example, monetary metrics may be analogous to conventional monetary metrics of physical currency, including M1, M2, M3, etc. As understood for conventional physical currency, M1 is the money supply that is composed of physical currency and coin, demand deposits, travelers' checks, other checkable deposits, and negotiable order of withdrawal (NOW) accounts. M1 is a narrow measure of the money supply that includes physical currency, demand deposits, traveler’s checks, and other checkable deposits. M2 = M1 + savings deposits + money market funds + certificates of deposit + other time deposits. M3 is a collection of the money supply that includes M2 money as well as large time deposits, institutional money market funds, short-term repurchase agreements, and larger liquid funds. M3 is closely associated with larger financial institutions and corporations than with small businesses and individuals. M4= M3 + total post office deposits. While it is noted that M1 and M3 are generally no longer used as guidance for establishing monetary policy, such monetary parameters are still used to help economic analysts to determine health of the financial system, economy, etc. [00228] For digital cryptocurrency, analogous and/or different monetary metrics may be established that are used to track the cryptocurrency. As described above with regard to the automatic auditing, the automatic auditing may provide metadata associated with the cryptocurrency. The monetary metrics may be formulated to provide analogous metrics as conventional monetary metrics for physical money or may represent different metrics that is more particular to the health of the cryptocurrency (e.g., average size of cryptocurrency transactions, average fragmentation of the cryptocurrency, location(s) of largest non- fragmented cryptocurrency, speed of transaction of different size fragmented cryptocurrency, geophysical locations of the cryptocurrency, amount of exchanges of cryptocurrency and physical currency in any form over the past day, week, month, quarter, and year, for example, and so forth). From the monetary metrics, certain insights into the cryptocurrency, markets in which the cryptocurrency is exchanged, and so on may be gleaned by economists, thereby providing a more transparent and “healthier” cryptocurrency marketplace. [00229] Finally, the self-auditing module 319B may, where applicable, allow the platform to withhold applicable taxes related to the distribution of PIICOINs or other types of recompense. In the alternative, the self-auditing module 319B can direct any applicable tax forms and liability requirements to distributees of the platform’s PIICOIN or alternate forms of compensation. [00230] Work Token Communications [00231] FIG. 3C represents Work Tokens 70 A123, B456, C789 and D101112 independently communicating 215 with one another through artificial intelligence and machine learning through a common “interest cloud” related to three distinct channels: (1) the Purchasing Collective 100; (2) Organic Peer-to-Peer Selling Network 110 and (3) the Organic Social Collective 120. FIG.3B demonstrates Work Tokens 70 owned by people 10A with a common interest in 12-inch G.I. Joe collectable soldiers. The Work Tokens 70 recognize a similar hobby interest in their respective assigned Data Contributors 10/10A of collecting 12-inch G.I. Joe action figures. This mutual recognition is shared with the Purchasing Collective 100 which then proceeds to transmit a special offer 209 of a G.I. Joe collectable merchandise at a discounted group purchase for interested Data Contributors A123 and B45610/10A. If one or more sales is consummated via the Purchasing Collective 100, then a sales commission 212 is earned by the SCIP system 80. In another embodiment, the same G.I. Joe interest is recognized by a Work Token 70 C789 that has a particular G.I. Joe for sale and another Work Token D101112 that is looking for this particular G.I. Joe (because its owner performed an online search or directly submitted a request via a customized Internet browser or other system (e.g., sales platform) with which the Token interacts or may otherwise utilize). [00232] An offer and sale to cryptocurrency owners 230 may be made between a potential seller Work Token 70 C789 to a potential buyer Work Token 70 D101112. If one or more sales is consummated via the Peer-to-Peer Selling Network 110, then a sales commission 212 is earned by the SCIP system 80. Finally, the respective Work Tokens 70 A123, B456, C789, and D101112 may choose to join a Social Collective 120 or a subgroup of a Social Collective with an interest in G.I. Joe collecting. Advertising revenues 213 from the Social Collective may be generated when products of interest are offered to the respective, representative Work Tokens 70 A123, B456, C789 and D101112 that have joined the Social Collective 120. The sales commissions 212 and advertising revenues 213 are retained by the SCIP system 80 in support of its data-asset backed PIICOINs 70C. [00233] Peer-to-Peer Work Token Communications [00234] FIG. 3D of the system further represents how SCIP 80 generated Work Tokens 70 communicate with one another and SCIP 80 sponsored and curated platforms 100, 110, 120 via the SCIP 80 system. Four individual Data Contributors 10/10A, represented in FIG. 3B as A123, B456, C789, and D101112, are represented through Work Tokens 70. As an example of a mutual interest captured from their Work Tokens’ 70 PII and digital footprint/presence 70A, each of the respective Work Tokens 70 (A123, B456, C789, and D101112) has an interest 215 in GI Joe 12-inch collective action figures. In one embodiment, the SCIP 80 sponsored Purchasing Collective 100 makes a special GI Joe 12-inch offer all of the SCIP 80 member and owners 10/10A. Of the four Data Contributor 10/10A Work Token 70 owners represented (A123, B456, C789, and D101112), two individual Work Tokens 70 (A123 and B456) through their Data Contributors 10/10A decide to avail themselves 216 of the Purchasing Collective’s 100 offer and make the purchase. [00235] The SCIP 80 makes a commission from this sponsored sale and similarly orchestrated sales. In a second embodiment, the SCIP 80 sponsored Peer-to-Peer Selling network 110 matches two Work Tokens (C789 and D101112) with person (C789) having a GI Joe to sell and a person (D101112) who is interested in purchasing this particular GI Joe item. The Work Tokens 70 interact by offering to sell and purchase a GI Joe Figure making a Work Token 70 (C789) to Work Token (D101112) 70 direct sale. The SCIP 80 makes a small commission for helping to orchestrate this type of peer-to-peer Work Token 70 sale. In a third embodiment, all four Work Tokens 70 (A123, B456, C789, and D101112) opt-in to join a Social Collective or Organic Social Network 130 to enjoy, interact, expand and pursue their GI Joe hobby interest. The SCIP 80 earns advertising revenues from those Work Token 70 (A123, B456, C789, and D101112) Social Collective 120 sponsored Data Contributors 10/10A who choose to partake. [00236] Small Business Owner Work Token Communications [00237] FIG.3E represents a detailed look at the small business aspect of the Peer-to- Peer Seller Network 110 wherein two respective Work Tokens 70 1234, 70 ABCD independently communicate with one another through artificial intelligence 300 and machine learning. While each Work Token 70/1234, 70/ABCD differs in personally identifiable information and digital footprint packets (including interests) 70A, the Work Tokens 701234 and ABCD identify that each party has a mutual interest in 12-inch G.I. Joe collectable action figures. The respective Work Tokens 70 1234 and ABCD using artificial intelligence 300 communicate directly with one another regarding a G.I. Joe collectable that first Work Token 701234 owner has for sale and which the second Work Token 70 ABCD owner is interested in purchasing. The Work Tokens proceed to consummate a direct offer 310A, acceptance 310B, pay valuable consideration (fiat or PIICOIN) 320A and arrange delivery 320B of the G.I. Joe collectable. The selling Work Token remits a sales commission 212 to the Peer-to- Peer Seller Network 110 run by the SCIP system 80. [00238] Continuing with FIG.3E, the figure represents a small business enabled SCIP ecosystem 80 wherein a seller Work Token SBO70 is able to recognize through artificial intelligence 300 that two Work Tokens 70 ABC and DEF out of many different Work Tokens 70 in the SCIP ecosystem 80 show similar interests (as opposed to dissimilar interests) in hunting. Automatically, through artificial intelligence 300, the seller Work Token SBO70 “Best Hunting LLC” offers a special bow and arrow package for sale 320B to the two respective potential purchaser Work Tokens ABC and DEF interested in hunting. The two respective potential purchaser Work Tokens 70 ABC and DEF accept the offer, pay valuable consideration (fiat or PIICOIN) 320A and, in return, the bow and arrow package is delivered on behalf of the seller Work Token SBO70 to the two purchasing Work Tokens 70 ABC and DEF. A commission 212 from the sale is remitted to the enabling SCIP system 80. [00239] Cryptocurrency Platform Communications [00240] FIG. 4 of the system represents a monetizable opt-in data flow diagram for a Data Contributor 10/10A subject to be vetted for having committed no known or suspected criminal/public offenses as vetted via a Smart Contract 60. Once a prospective Data Contributor 10/10A is accepted by the Smart Contract 60, the enabled and assigned SCIP 80 generated Work Token 70 may begin generating opt-in PII/digital footprint data asset 70A when interfacing with the Internet or alternative digital network accreting a SCIP 80 Work Token’s 70 value 70B. A SCIP 80 Work Token’s 70 commercial value 70B is transformed into a distinct data-asset backed PIICOIN 70C value or other form of valuable recompense determined by artificial intelligence using different methods including value-laden tiers or classifications depending on the specific PII/digital footprint data asset 70A criteria sought and purchased by third party purchasers 90. The PII/digital footprint data asset 70A criteria is also used for specific offers communicated 209 to a Data Contributor 10/10A by the Purchasing Collective 100. [00241] A computing machine 30, 40, 50 interfaces 201 with the prospective Data Contributor 10/10A through a specialized Browser 20 to automatically and seamlessly produce 202 an individual SCIP 80 member and Data Contributor’s 10/10A blockchain- copyrighted 20A and assigned or licensed or as otherwise developed shared ownership of the PII/digital footprint data asset 70A, which through accepting a Smart Contract 60, produces a singularly identifiable SCIP 80 generated Work Token 70 assigned to a that individual Data Contributor 10/10A. As soon as the individual Data Contributors 10/10A makes the digital declaration and commitment to blockchain-copyright 20A his/her digital trail 70A, proof of the individual user’s blockchain-copyright 20A and assignment or licensing or otherwise created shared ownership of his/her data asset 70A is transmitted 203 back to the human user/owner 10/10A. The Data Contributors’s 10/10A opt-in PII/digital footprint asset 70A is authenticated 202 and transmitted 204A. Once vetted and accepted 204B, the SCIP 80 member and Data Contributor 10/10A is then electronically sent through the decentralized SCIP system 80 serving as a data repository for all SCIP 80 generated Work Tokens 70 generated by said SCIP system apparatus 80. As used herein, “authenticated” refers to the computing device 30, 40, 50 confirming that the opt-in PII/digital footprint 70A is both accurate and valid. [00242] The decentralized SCIP system 80 generates and sends 205 an individualized Work Token 70 to the human owner/Data Contributor 10/10A. This data capture, encapsulation, and sorting mechanism includes the Data Contributor’s 10/10A opt-in PII/digital footprint 70A crypto-identity and value 70B which is transformed into a distinct data-asset backed PIICOIN 70C value or other form of valuable recompense. This recompense value is assigned to the Data Contributor 10/10A. Upon the receipt of said value determination 70B, the human data contributor 10 becomes an actual Data Contributor 10/10A. The SCIP system 80 transmits 206 the data Personal Data 70A to third party data purchasers 90, who purchase the use of the opt-in Personal Data asset 70A housed within a Data Contributor’s 10/10A SCIP 80 generated Work Token 70. The third-party data purchasers 90 then remit fiat or another form of valuable payment 208 to the SCIP system 80 to be distributed, in part, and retained, in part, as governed by the mutually agreed Smart Contract 60 between the SCIP 80 and the Data Contributor 10/10A. [00243] Outside data purchasers 90 may include third-party businesses, manufacturers, social policy think tanks, public health, safety and regulatory agencies, and others. These purchasers 90 are interested in compiling trustworthy, transparent real-time opt-in PII/digital footprint data asset collections 70A to influence respective business practices, humanitarian goals, medical research, legislation and other goals. In one preferred embodiment, the specialized Browser 20 provides for the SCIP system server 80 to store and enable the steps 201, 202, 204 to exchange data asset 70A between the SCIP owner’s device 30, 40, 50 and issuing SCIP system 80 which determines the SCIP 80 generated Work Token’s 70 commercial value 70B which takes the form of a distinct data-asset-backed PIICOIN 70C or other form of recompense including fiat or electronic debit card payment. [00244] Compensation 208, the value 70B of Work Token 70, provided by a data purchaser 90 is routed through the issuing SCIP system 80 and into the individual SCIP 80 Data Contributors’s 10/10A digital wallet 10B per the Smart Contract 60. In one embodiment, the Smart Contract 60 leverages the decentralized SCIP system 80 to create a blockchain immutable ledger and record of the issuing SCIP system’s 80 initiated data sale transaction using a Data Contributors’s 10/10A linked data and digital wallet 10B to the Work Token owner’s 10/10A device 30, 40, 50. The commercial data value 70B that is generated is determined in conjunction with the purchase 208 of the data asset 70A by a data buyer 90 to digitally verify the transaction safeguarding the opt-in PII/digital footprint data asset’s 70A authenticity and integrity. The Data Contributor 10/10A is entered 207 into a vetted and curated SCIP 80 Purchasing Collective entity 100 that offers quantum discounts (not traditional discounted tokens but time sensitive individually curated offers for specific tiered or sorted groups of SCIP data contributors) on goods/services 210 along with other advantageous terms such as preferred financing along with interactive SCIP 80 generated Work Token 70 also to Peer-to-Peer Selling 110 and Social Networking platforms 120. [00245] The Data Contributor 10/10A can elect to receive and accept goods/services offers 209 generated by artificial intelligence 300, in part, enacted by the SCIP’s 80 Digital Footprint, NLP, and Predictive Analysis Engines 70E, 70F, 70G whereby the purchases 210 are then delivered 211 from the Collective Purchasing Entity 100 using the issuing SCIP system’s 80 trusted and approved shipper or services provider. If one or more sales is consummated via the Purchasing Collective 100, then a sales commission 212 is earned by the SCIP system 80. As disclosed herein, in one preferred embodiment, to technically capture, blockchain-copyright, store, deposit, cleanse and transmit 20A the targeted opt-in PII/digital footprint data asset 70A derived or mined from a Data Contributor’s 10/10A Work Token 70, the SCIP system 80 may utilize an on-board computing resource to capture, blockchain-copyright, compile, cleanse, sort, analyze, transmit the targeted data selection requested by a data purchaser 90 in return for payment 208. In a further embodiment, a Data Contributor 10/10A may choose to join 240 a Social Collective 120 by receiving an invitation 235 through his/her Work Token 70 that may, in part be derived from his/her PII information input 70A into his/her Smart Contract 60 combined with digital footprint information 70A captured and analyzed by the Digital Footprint, NLP, and Predictive Analysis Engines 70E, 70F, 70G (described in FIG. 2). Advertising revenues may generated by those opt-in users 10/10A and remitted 213 to the SCIP 80. [00246] Notably, other networks or combinations of networks for SCIP 80 Data Contributor’s 10/10A Work Token 70 formation, transactions, and inter-SCIP multiple owner 10/10A Work Token 70 to Work Token 70 communications may be used. The SCIP system server 80 may transmit the custom data asset selection 70A from its platform 80 to a data purchaser 90 in exchange monetary compensation 208 that is paid to the SCIP system 80 a part of which is allocated to back the SCIP’s data-asset backed PIICOIN 70C. In some examples, the SCIP server 80 may apply a hash function to the targeted data asset selection 70A and verify that the contents of the targeted opt-in PII/digital footprint data asset 70A selection has fulfilled a request from the data purchaser 90. A hash function is a cryptographic digital footprint 70A comprised of numbers and characters affixed in series to an informational segment to secure that information, preclude error, and/or be housed on the blockchain as completed transaction. A data purchaser 90 may execute a second hash function to exactly mirror the first hash function representing the desired opt-in PII/digital footprint data asset 70A/70B (collectively a Work Token 70). When the first and second hash functions are identical, a hash value is created to ensure opt-in PII/digital footprint data asset 70A/70B (70) validity and integrity through the SCIP blockchain system 80. This 70A/70B (70) Work Token is transformed into a new data-asset backed cryptocurrency or PIICOIN 70C. [00247] In certain embodiments, the SCIP data intake and processing system 80 may be designed to using machine learning, for example: (1) identify a silo of cultivated Personal Data 70A of particular interest to a data acquirer 90, (2) determine a plurality of data assets 70A including certain data elements of a specific cultivated data silo 70A, the entire data silo 70A, or a group of data silos 70A that individually or collectively best suits the interests of a data acquirer 90, (3) package the Personal Data 70A for commercial sale to data acquirer 90; (4) transmit the data package 70A to data acquirer 90; (5) receive electronic financial recompense for the electronic commercial delivery of said data acquirer 90. [00248] In other certain embodiments, the SCIP data intake and processing system 80 may be designed to: (1) receive a Personal Data 70A subject access request from a data acquirer 90; (2) access the SCIP data intake and processing system 80 data repository to identify the requested data 70A or data sets 70A; (3) determine those Personal Data assets 70A of the plurality of data assets 70A held in the SCIP data repository 80 including any unique data producer-owner 10 identifiers, (4) access the Personal Data of its producer-owner 10 and/or a tier or group of similar producer-owners 10 deposited in each of the data assets 70A of the plurality of data assets 70A stored within the SCIP data repository 80 that include the unique request by the data acquirer 90, and (5) implement one or more actions based on the data 70A subject 10/10A access request. [00249] Smart Contract Processing [00250] FIG. 5 represents processing and machine-readable memory mechanisms that transmit and enable instructions to create a Work Token 70 (including components 70A/70B). Having entered into a Smart Contract 60, instructions are transmitted and enabled using sequential steps 301, 302, 303, 304, 305, 306, 307, and 308. The first step 301 instructs that a prospective SCIP 80 member and Data Contributor 10/10A has agreed to be bound to the Smart Contract 60 thereby blockchain-copyrighting 20A the assenting SCIP 80 Data Contributors’s 10/10A PII/digital footprint asset 70A/70B (collectively a Work Token 70) in the individual’s name to track, capture, deposit, blockchain-copyright, non-fungible tokenize, imprint, cleanse, sort, analyze, configure, communicate, assign or license or otherwise create shared ownership and issued his/her newly issued/assigned SCIP 80 generated Work Token 70 (collectively 70A/70B). The second step 302 commences tracking of the SCIP 80 Data Contributors’s 10/10A Internet and electronic digital usage through a plurality of devices 30, 40, 50. Said devices 30, 40, 50 may incorporate one or more memory resources to compile and store data 70A and/or instructions interfacing with a computing system residing on the SCIP system 80. A computing system 30, 40, 50 may include one or more processing resources to fulfill instructions issued by an operating system (e.g., Windows, etc.) to deliver and enable regular services for applications running on the computing system. [00251] Smart phones and watches, laptops and personal computing systems, tablets, wearable fitness/motion devices and other devices connecting to the Internet-of-Things (IoT) may be incorporated in (non)virtualized architectures. IoT enabled devices include electronic devices and any machine that such devices connecting to a network to allow data flow and transfer. among other cyber-physical systems. The third step 303 instructs the SCIP system’s blockchain 80 to continuously record a SCIP 80 Data Contributor’s 10/10A everyday digital presence 70A to create a blockchain-copyrighted 20A crypto-identity and continuous associated digital footprint 70A as provided by the special Browser 20 that continuously blockchain copyrights the user’s internet and digital activity 70A creating a continuously updated and growing non-fungible token (NFT) 70 doubling as a Work Token 70 that is assigned or licensed or otherwise developed in shared ownership regarding the SCIP data assets’ 70A corresponding commercial value 70B. The fourth step 304 issues instructions to assign a specific variable SCIP 80 generated token commercial value 70B which may become or take the form of a distinct data-asset-backed PIICOIN 70C value of one or more PIICOINs 70C or other form of recompense provided to the Data Contributor 10/10A based on his/her online activity/history 70B. [00252] The fifth step 305 issues instructions to pay a distinct data-asset-backed PIICOIN 70C in the form of one or more PIICOINs 70C or alternative form of recompense including but not limited to fiat or electronic debit card payment to the SCIP 80 Data Contributor 10/10A upon a set contractual event 60 or set of events 60. The sixth step 306 offers Data Contributors 10/10A customized access to a curated Purchasing Collective 100, Peer-to-peer Selling Network 110, and/or Social Network 120 based on his/her Work Token value 70B and data predictors or a group interaction of similarly situated Work Tokens 70 whose PII and digital footprint/presence 70A similar data sets can communicate with one another to form a grass-roots purchasing collective and organic social network of like-minded and situated people grouped together by their interests, beliefs, demographics, politics, gender, age, etc. [00253] The seventh step 307 may issue instructions through the communication of multiple suitably identified SCIP 80 generated Work Tokens 70 to the Purchasing Collective 100 to make special offers and accept Data Contributor 10/10A payments using fiat or a Data Contributor’s 10/10A earned data-asset-backed PIICOINs 70C through the issuing SCIP system’s 80 trusted shippers and services providers. The eighth step 308 issues instructions to execute and deliver a SCIP 80 generated Work Token 70 surrender value 70B which may become or take the form of a distinct data-asset-backed PIICOIN 70C value or other form of recompense should a SCIP 80 Data Contributor 10/10A opt-out of his/her Smart Contract 60 or with the natural death of said Data Contributor 10/10A. While a Work Token 70B may be determined using a variable calculation based on total amount of a PII and digital footprint 70A of a Data Contributor 10/10A, an alternative embodiment of the system may provide for the Data Contributor 10/10A receiving a fixed amount for a minimum amount of data contribution. Still yet, the Work Token 70B may be set to fixed amounts of value when the Data Contributor 10/10A performs an amount of data contribution within different ranges of contribution. [00254] Should the Data Contributor 10/10A contractually opt-out and terminate his/her relationship with the SCIP system 80, that SCIP 80 former member and Data Contributor’s 10/10A Work Token 70 will be deactivated and disabled from the issuing SCIP system network 80. The same deactivation/disabling mechanism will automatically trigger and occur upon the death of a former SCIP 80 Data Contributor 10/10A. To store computing protocols, the processing mechanism 30, 40, 50 may include memory mechanisms as partly defined by the capability to execute memory-related tasks. The contemplated memory mechanisms 30, 40, 50 are capable of both volatile and non-volatile memory storage. [00255] Cryptocurrency Value Growth [00256] FIG. 6 represents a system’s Work Token 70 that continually accretes its commercial value 70B which may become or take the form of a distinct data-asset-backed PIICOIN 70C value or other form of recompense including but not limited to fiat or electronic debit card to compensate the Data Contributor 10/10A for the commercialization of his/her combined PII/digital footprint 70A. As a SCIP 80 member and owner 10/10A continually generates an online presence and an ever-expanding digital footprint 70A (including but not limited to personal, engagement, behavioral, attitudinal and other attributed Personal Data), this data 70A will build commensurate commercial value 70B increasing his/her SCIP Work Token’s 70 annual or other set period worth over the course of the active SCIP 80 Data Contributor’s 10/10A lifetime. [00257] The following is a recapitulation of fourteen illustrative steps and provides a final purview of the SCIP system’s methodology 80: [00258] (1) accessing a human’s 10 personal identifiable information (PII) and digital presence/footprint 70A by one or more computing processors 30, 40, 50, via one or more computer networks 20, 60, 70, 80; [00259] (2) providing an application to blockchain copyright a Data Contributor’s 10/10A PII/digital presence/footprint 70A by one or more processors 30, 40, 50, the one or more data assets 70A to generate a blockchain of copyrighted 20A Personal Data 70A associated and owned by one Data Contributor 10/10A; [00260] (3) providing a continually updated copyright application that serves to keep current all of the Personal Data 70A of a Data Contributor’s 10/10A up-to-date and in-force with a governmental copyright organization; [00261] (4) securely storing, by one or more processors 60, 70, 80, the generated blockchain copyrighted 20A Personal Data 70A in a secure computer memory or series of secure computer memories 80 or in a remote computing cloud or alternative computing device 30, 40, 50; [00262] (5) sorting, analyzing, tiering, grouping and cataloging the individualized Personal Data 70A; [00263] (6) creating a digital Work Token 70 to assign, represent, categorize, catalog, and provide individualized Work Token ownership 70 of the individualized Personal Data 70A on the behalf of the Data Contributor 10/10A; [00264] (7) using a computer process or series of processors employing artificial intelligence and specialized algorithms, 20, 60, 70, 80 to assign a commercial value 70B to the individualized Personal Data 70A to be housed on the digital Work Token 70; [00265] (8) providing the application 60 to license or assign the valuable commercially rendered individualized Personal Data 70A; [00266] (9) compiling and adding the individualized Personal Data 70A to centralized data pool of like individualized Personal Data 70A stored in a secure computer memory or series of secure computer memories 80 or in a remote computing cloud or alternative computing device 30, 40, 50; [00267] (10) the Data Contributor 10/10A of the individualized Personal Data 70A is invited electronically to participate in a Purchasing Collective 100, with other Data Contributors 10/10A of both separate and grouped individualized Personal Data 70A who are offered quantum discounts for goods and services from select vendors 100 along with invitations to partake in Peer-to-Peer Collectives 110 and Social Collectives 120. [00268] (11) in response to the Data Contributors 10/10A of the individualized Personal Data 70A submitting an application 60 to the SPIC data repository 80 to create recompense 70B in the form a data-asset backed PIICOIN 70C; [00269] (12) the data-asset backed PIICOIN 70C is backed by the revenues 208 generated by an enormous Data Repository 80 produced by Data Contributors 10/10A of the system; [00270] (13) the data-asset backed PIICOIN 70C is also backed by the revenues 208 generated by commissions earned by providing the Purchasing Collective 100; Peer-to-peer Seller Collective 110; and Social Collective 120. [00271] (14) the data-asset backed PIICOIN 70C is also backed by the value attributed to the massive data pool 70A of Data Contributors 10/10A of the system. [00272] Illustrative System and Process Features [00273] A computer-implemented method, comprising: generating, by first computing devices, raw data sets representative of activities performed by respective users while each of the users is using the Internet; determining, by a second computing device, an aggregate data value of at least a portion of an aggregate of the raw data sets, the at least a portion of the aggregate of the raw data sets being received from the users who contribute that portion of the raw data sets, the contributing users being data contributors; establishing, by the second computing device, a basis value of a cryptocurrency as a function of the aggregate data value; and regulating total quantity of the cryptocurrency in circulation as a function of the aggregate data value. [00274] Establishing the basis value of the cryptocurrency may include calculating the basis value as a function of the aggregate data value. Establishing the basis value may further include calculating the basis value as a function of the market value of the cryptocurrency. Determining market value of the cryptocurrency may be based on the cryptocurrency exchange value and/or volume of cryptocurrency exchanges. [00275] The process may further include calculating, by the second computing device, individual data value of at least a portion of each of the raw data sets as an apportionment from the aggregate data value; calculating, by the second computing device, an amount of cryptocurrency to be distributed to each of the respective users as a function of the individual data value; and automatically distributing the calculated amount of cryptocurrency to the respective users. Automatically distributing the calculated amount of cryptocurrency to respective users may include automatically applying the calculated amount of cryptocurrency to the respective users via digital wallets. Calculating an amount of cryptocurrency to be distributed may include periodically calculating an amount of cryptocurrency. Periodically calculating an amount of cryptocurrency may include calculating an amount of cryptocurrency to be distributed to each of the respective users on a quarterly basis. [00276] The process may further include executing, by the first computing device, a browser that enables a user to access the Internet; enables the users via the browser to opt into the browser to collect the raw data sets as the users use the browser to perform the activities on the Internet; and collects, by the browser, opt-in activities performed by the respective users on the Internet. The process may further include enabling, by the first computing devices from respective users, personal identifiable information (PII) of the users inclusive at least of demographic and financial parameters; receiving, by the first computing devices from the respective users, at least a portion of the PII submitted by respective users; where determining an aggregate data value further includes determining an aggregate data value by using both the at least a portion of the PII in addition to the at least a portion of the raw data sets of the respective users; and where calculating individual data value includes calculating individual data value using both the at least a portion of the PII and at least a portion of the raw data sets of the respective users. [00277] The process may further include parsing and recording, by the first computing device, selectable PII data chosen by the Smart Contract owner. The process may further include enabling the user to turn ON and turn OFF the collection of selectable PII and selectable raw data associated with Internet usage via a browser that enables the user to perform Internet usage. [00278] Calculating, by the second computing device, an amount of cryptocurrency may include applying weightings to the demographic and financial parameters submitted by the respective users. Collecting, by the browser, may include storing data of the opt-in activities on the Internet of the users on blockchains associated with the respective users. Enabling, by the browser, the users to select types of PII and opt-in activities collected as portions of the raw data sets to submit; and wherein determining, by the second computing device, the aggregate data value of the at least a portion of an aggregate of the raw data sets includes determining an aggregate data value of the opt-in activities, the aggregate data value being a function of commercial value of the opt-in activities. [00279] The process may further include generating terms and rules of a smart contract for each of the users; applying the terms and rules to the respective smart contracts; and storing the smart contracts with the terms and rules onto the respective blockchains, thereby causing a browser that supports, monitors, and records Internet usage by the user to be collected as opt-in activities based on the terms of the smart contract. [00280] The process may further include enabling, by the first computing devices of respective users, personal identifiable information (PII) of the users inclusive at least of demographic and financial parameters to be submitted; applying the PII of the users to respective smart contracts; and enabling, by the first computing devices, the respective users to select activities on the Internet as raw data sets to submit for individual data value. [00281] The process may further include storing the smart contracts of respective users onto blockchains of the respective users. The process may further include executing an artificial intelligence algorithm to determine one or more categories in which the respective users are identified based on the activities on the Internet stored on the respective blockchains. The process may further include enabling the user to change the submitted PII and reselected activities on the Internet as raw data sets to submit for individual data value. [00282] Automatically regulating total quantity of the cryptocurrency in circulation may includes releasing reserve minted cryptocurrency into circulation in response to the basis of the aggregate data value increasing; and collecting the cryptocurrency from circulation. [00283] The process may further include submitting at least a portion of the raw data sets for copyright protection to a governmental organization. The process may further include generating work tokens for each of the data contributors, the work tokens storing personally identifiable information (PII) and digital footprint along with data value; assigning data value to the work token; and storing the data value in the work token, the work token being a non-fungible token (NFT). [00284] The process may further include enabling the work tokens to communicate with one another using artificial intelligence directly or indirectly. The process may further include establishing an application with which each of the NFTs are able to communicate using artificial intelligence and machine learning to receive and respond to commercial offers, social causes, or directly between and amongst the NFTs; and in response to the application determining that a first and a second NFT have a commonality, algorithmically causing the first and second NFTs to communicate with one another on an opt-in basis to establish shared affinities to form groups of personal NFTs interacting on the basis of the shared affinities. [00285] The process may further include determining, using artificial intelligence and/or machine learning, commonality of first and second NFTs. The process may further include establishing an application with which each of the NFTs are able to communicate; and in response to the application determining that a first and a second NFT have a commonality determined by artificial intelligence and machine learning, enabling users associated with the respective NFTs to engage with the application. Enabling the users to engage with the application may include enabling the users to engage with dating or other type of electronic human affinity interaction applications. [00286] Additional Illustrative System and Process Features [00287] A computer-implemented system and method may include collecting, by a first computing device, selectable personal identifiable information (PII) or Personal Data associated with the first user; generating a Smart Contract that resides on a blockchain which may be individualized, the Smart Contract contractually binding the first user Data Contributor and a third-party administrator; generating a self-sovereign Work Token digital identity through the Smart Contract providing individuals with control of their digital personality and presence to prohibit the (un)intended or non-permissioned sharing of users’ personal data; monitoring, by the first computing device, Internet usage of the Data Contributor to generate a raw data set; generating, by the first computing device, a processed data set based on the raw data set from the monitored Internet usage; collecting, by a second computing device, the processed data set from the first computing device; parsing and recording, by the first computing device, selectable processed PII data chosen by the Smart Contract owner; applying, by the first or second computing device, an artificial intelligence algorithm as governed by terms and rules of the Smart Contract to the collected processed data set to digitally protect, identify, categorize and store the processed data sets; determining value of the processed selectable Personal Data set based on commercial market value to produce a work value created by the user; computing, by the second computing device, a data-asset backed cryptocurrency value derived from the work’s commercial value; and adding, by the second computing device as governed by the Smart Contract, the specialized cryptocurrency to a previously distributed amount of cryptocurrency in a digital wallet on the blockchain allowing the Data Contributor to accrue said cryptocurrency amounts thereby enabling the user, should he or she choose, to purchase goods, services, using the cryptocurrency in the digital wallet or exchange said in the wallet for other types of cryptocurrency or fiat. [00288] Monitoring may include executing a browser that enables a Data Contributor to access the Internet; and collecting, by the browser, opt-in activities performed by the Data Contributor on the Internet. The first Data Contributor may be an opt-in user, and wherein collecting activities includes collecting and combining both opt-in PII and digital activities that may, at the user’s election, be shielded from all third parties. [00289] Generating the processed data set may include generating the processed data set at a particular point-in-time that is both an aggregate or selectable data portion set depending on a first user’s data collection preference of the raw data set’s elements over a time interval. Generating the processed data set may be performed periodically as set forward in terms and rules of the Smart Contract. The PII may be stored onto a blockchain or individualized blockchain associated with the first user. The process may further include storing the user’s raw data set onto the Data Contributor specific blockchain. The process may further include generating the Smart Contract that resides on the blockchain, and wherein the third-party administrator collects and processes the processed data set to generate the cryptocurrency reward value or other form of compensation representing the commercial work value of said processed data. [00290] The process may further include performing, by the Smart Contract, cryptocurrency additional rewards to the digital wallet of the user. The process may further include providing, by the first computing device, a Data Contributor interface to the Data Contributor to enable the Data Contributor to (i) enter the user’s entire or selectable Personal Data through a third party-administrator PII intake form and (ii) submit boundaries for capturing raw data of Internet of the user; receiving, by the first computing device, the PII, Internet-use and other data-related boundaries from the user; generating the terms and rules of the Smart Contract based on Data Contributor selected PII and Internet-use boundaries; setting the terms and rules of the Smart Contract; and storing the Smart Contract with the terms, rules, Data Contributor selected PII and Internet-use boundaries onto the blockchain, thereby causing a browser that supports, monitors, and records Internet by the Data Contributor to be restricted based on the terms of the Smart Contract as defined by Data Contributor control of selected PII and Internet-use boundaries. [00291] The process may further include enabling the Data Contributor to establish times during which collection of raw data is performed by updating the boundaries stored in the Smart Contract. The process may further include enabling the Data Contributor to turn ON and turn OFF the collection of selectable PII and selectable raw data associated with Internet usage via a browser that enables the Data Contributor to perform Internet usage. [00292] The process may further include collecting, by a plurality of third computing devices, personal identifiable information (PII) associated with a plurality of second users; generating a plurality of Smart Contracts that reside on a shared or user-specific individualized blockchain, the Smart Contracts contractually binding the respective second users and the third-party administrator; monitoring, by the third computing devices, Internet usage of the respective second users to generate a cumulative raw data set; generating, by the third computing devices, a plurality of processed data sets based on the raw or derivative select data sets from the monitored Internet usage of the respective second users; collecting, by the second computing device, the processed data sets from the second computing devices; applying, by the second computing device, the artificial intelligence algorithm as governed by terms and rules of the respective Smart Contracts to the collected processed data sets to identify and categorize the processed data sets of the respective second users; determining value of the respective processed data sets based on monetizable market data value to produce a commercial work value created by the respective second users; computing, by the second computing device, cryptocurrency reward values derived from and representative of the commercial work values of the respective second users; and adding, by the second computing device as governed by the Smart Contract, the cryptocurrency to a previous amount of cryptocurrency in digital wallets on the blockchain of the respective second users, thereby enabling the Data Contributor to purchase goods, services, and to initiate exchanges using the cryptocurrency in the digital wallet. [00293] The process may further include establishing, by the second computing device, a total commercial work value of the first users and second users based on the processed data sets of the first and second users of a Work Token, thereby providing a data asset-backed value for the cryptocurrency provided to the first and second users. The process may further include determining, by the second computing device, a total commercial work value of the first and second users based on the processed data sets during repeated timeframes as set forward in terms and rules of the Smart Contracts. [00294] The process may further include establishing a Work Token or non-fungible token (NFT) for each of the first and second users; and assigning the commercial work value of each of the respective first and second users to respective non-fungible tokens of each of the first and second users. The process may further include enabling each of the NFTs to communicate using artificial intelligence with one another directly or indirectly. The process may further include establishing an application with which each of the NFTs are able to communicate with the system platform using artificial intelligence and machine learning to receive and respond to commercial offers, social causes, or, alternatively, directly between and among NFTs; and in response to the application determining that a first and a second NFT have a commonality, algorithmically causing the first and second NFTs to communicate with one another on an opt-in basis to establish a commercial or personal affinity that may lead to large groups of personal NFTs interacting on the basis of shared affinities. [00295] The process may further include determining, using artificial intelligence and machine learning, commonality of the first and second NFT. The process may further include establishing an application with which each of the NFTs are able to communicate; and in response to the application determining that a first and a second NFT have a commonality determined by artificial intelligence and machine learning, enabling users associated with the respective NFTs to engage with the application. [00296] Enabling the users to engage with the application may include enabling the users to engage with a dating or other type of electronic human affinity interaction applications. The process may further include repeatedly monitoring, generating, collecting, applying, determining, computing, and adding based on terms and rules of the Smart Contracts. [00297] Generating the Smart Contracts may include generating at least one term and rule of each of the Smart Contracts that are common with one another, wherein the at least one term and rule includes establishing a date that the cryptocurrency recompense values are computed and added to the digital wallets of the respective first and second users. [00298] Creating a copyrightable Work Token or NFT comprised of Data Contributor controlled selectable data may include but not be limited to Data Contributor survey, analytic, review mining and buyer persona data supplied by the Data Contributor to the platform and then assigned to the first Data Contributor as a function of the raw data of the first user. [00299] The process may further include storing the copyrightable NFT assigned to the first Data Contributor on a blockchain on which the Smart Contract of the first Data Contributor is stored. The process may further include registering the copyrightable NFT assigned to the first Data Contributor with a copyright registration governmental organization. The process may further include establishing an application with which a third- party is able to communicate with a first party NFT; and in response to the application determining that a first NFT has a commonality with an offering by the third-party, enabling the first Data Contributor associated with the NFT to engage with the application. [00300] A computer-implemented method for collecting and using information based on browsing history may include tracking, by a specialized Internet browser, domains of which a Data Contributor visits on the Internet; storing, by the specialized Internet browser, browsing history of the domains visited by the Data Contributor in a protected manner that is inaccessible to others; enabling, the Data Contributor to selectably share at least a portion of the browsing history to a browsing history collection platform for usage thereby; and sharing at least a portion of the browsing history with the browsing history collection platform. [00301] Storing the browsing history may include storing the browsing history in cookies or alternative data tracking and capture mechanisms. Enabling the Data Contributor to selectably share includes enabling the Data Contributor to selectably share by the browser. Enabling the Data Contributor to selectably share includes providing the Data Contributor with a Data Contributor interface to select particular portions of browser history to share; and enabling the Data Contributor to submit the selected particular portions of browsing history. [00302] The process may further include collecting selected categories of domains for the Internet browser to store in the browsing history; and wherein tracking includes tracking domains limited to the selected categories. [00303] The process may further include storing the browsing history of the selected categories into a blockchain independent of browsing history of categories not selected by the user. Sharing the at least a portion of the browsing history may include storing the stored browsing history into blocks on a blockchain accessible to the browsing history collection platform. [00304] The process may further include storing the browsing history in a protected manner by encrypting and copywriting the browsing history. Storing may include storing data associated with each domain visited by the Data Contributor in a block on a blockchain; and encrypting the data stored in each block on the blockchain. The process may further include parsing the stored browsing history; and generating a data set score or commercial value as a function of the parsed browsing history. [00305] The process may further include receiving, from the browsing history collection platform, a data set score associated with the at least a portion of the browsing history shared with the browsing history collection platform. The process may further include receiving, from the browsing history collection platform, a compensation value as a function of the data set score. Receiving the compensation may include receiving the compensation in the form of a cryptocurrency or fiat or electronic debit card or some other form of valuable consideration. [00306] Receiving, from the browsing history collection platform, compensation as a function of the shared at least a portion of the browsing history to the browsing history collection platform. The process may further include automatically arranging the stored browsing history data into a format that represents different interests of the user. [00307] The process may further include submitting the arranged, tangible form of expression and stored browsing history to a governmental organization for copyright protection. The process may further include enabling the browser to track the domains of which the Data Contributor visits based on time. The process may further include enabling the browser to track the domains of which they use a visit based on geography. The process may further include enabling the browser to track the domains of which they use a visit based on network location. [00308] The foregoing method descriptions and the process flow diagrams are provided merely as illustrative examples and are not intended to require or imply that the steps of the various embodiments must be performed in the order presented. As will be appreciated by one of skill in the art the steps in the foregoing embodiments may be performed in any order. Words such as “then,” “next,” etc. are not intended to limit the order of the steps; these words are simply used to guide the reader through the description of the methods. Although process flow diagrams may describe the operations as a sequential process, many of the operations may be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. When a process corresponds to a function, its termination may correspond to a return of the function to the calling function or the main function. [00309] The various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the principles of the presently claimed invention. [00310] The preceding description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the presently claimed invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the scope of the invention. Thus, the claimed invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the following claims and the principles and novel features disclosed herein. [00311] The previous description is of a preferred embodiment for implementing the invention, and the scope of the invention should not necessarily be limited by this description. The scope of the present invention is instead defined by the following claims.