System and method for creating an opinion and behavioral data economy

Abstract

A system and method for the opinion economy that allows a user to make a choice of what data, demographics, opinions, behaviors, beliefs, and other information to share. The system and method provides capability to a user to set a value for that user's data, opinions, behaviors, and beliefs. The system and method further allow for dynamic pricing for surveys or data collection, either dependent on length of time, effort given by the user, or other attributes that might drive the value the user sets on that user's participation.

What is claimed is: 
     
         1 . A computer-implemented method comprising:
 using a cryptographic distributed ledger that includes a survey platform that interacts with a research firm to conduct surveys, wherein the cryptographic distributed ledger is capable of:
 receiving data from at least one user wherein the user controls value of the user's data and the user controls access to the user's data shared with brands, research companies, and other entities; 
 storing said data in an electronic database wherein the research firm queries the database to find a list of users that match at least one criteria; 
 correlating said data associated with said user from a source with additional data received from at least one additional source; 
 storing said data from said source, wherein said data from said source includes survey data associated with said user; 
 storing said additional data from said at least one additional source; 
 analyzing said survey data associated with said user and said additional data from said at least one additional source; 
 tagging said additional data associated with said user from said additional source; and 
 allowing the research firm to offer a price to said user based upon criteria selected from a group consisting of said user's reputation score, demographic, feedback rating, or quality of opinions provided. 
   
     
     
         2 . The computer-implemented method of  claim 1 , wherein said additional data from said additional source includes browsing history associated with said user. 
     
     
         3 . The computer-implemented method of  claim 1 , wherein said additional data from said additional source includes an Internet-connected device associated with said user. 
     
     
         4 . The computer-implemented method of  claim 1 , wherein said additional data from said additional source includes a medical record associated with said user. 
     
     
         5 . The computer-implemented method of  claim 1 , wherein said additional data from said additional source includes additional survey data associated with said user. 
     
     
         6 . The computer-implemented method of  claim 1 , wherein said additional data from said additional source includes data from an Internet of Things device associated with said user. 
     
     
         7 . The computer-implemented method of  claim 1 , wherein said additional data from said additional source includes data from a computing device associated with said user. 
     
     
         8 . The computer-implemented method of  claim 1 , wherein said additional data from said additional source includes data from an Internet-connected sensor associated with said user. 
     
     
         9 . The computer-implemented method of  claim 1 , wherein said additional data from said additional source includes behavioral data from a third-party source. 
     
     
         10 . The computer-implemented method of  claim 1 , wherein said additional data from said additional source includes data from shopping or buying associated with said user. 
     
     
         11 . The computer-implemented method of  claim 1 , wherein said additional data from said additional source includes data from video streaming associated with said user. 
     
     
         12 . The computer-implemented method of  claim 1 , wherein said additional data from said additional source includes data from a wireless sensor associated with said user. 
     
     
         13 . The computer-implemented method of  claim 1 , further comprising
 storing a reputation score of said at least one user.   
     
     
         14 . The computer-implemented method of  claim 1 , further comprising
 rating said at least one user based upon said data.   
     
     
         15 . The computer-implemented method of  claim 1 , further comprising
 contacting, by the research firm, said at least one a user via a contact method designated by said at least one user.   
     
     
         16 . The computer-implemented method of  claim 1 , further comprising
 allowing said at least one user's public datapoints to be pre-populated into a data collection activity to reduce the time and effort required to complete the data collection activity.   
     
     
         17 . The computer-implemented method of  claim 1 , further comprising
 receiving said additional data associated with a data collection activity from said at least one user.   
     
     
         18 . A computer-implemented method using a cryptographic distributed ledger, the method comprising:
 receiving data from at least one user;   storing said data in a database;   permitting said at least one user to associate a first value with said data;   receiving, from a firm, a request to conduct a data collection activity;   evaluating said data associated with at least one user matching at least one criteria specified by said firm;   permitting said at least one user to share a portion of said data; and   contacting, by a firm, said at least one a user via a contact method associated with said at least one user.   
     
     
         19 . A computer-implemented method comprising:
 using a cryptographic distributed ledger to conduct surveys, wherein the cryptographic distributed ledger is capable of:
 receiving data from at least one user wherein the user controls value of the user's data and the user controls access to the user's data shared with brands, research companies, and other entities; 
 storing said data in an electronic database wherein a research firm queries the database to find a list of users that match at least one criteria; 
 correlating said data associated with said user from a source with additional data received from at least one additional source; 
 storing said data from said source, wherein said data from said source includes survey data associated with said user; 
 storing said additional data from said at least one additional source; 
 analyzing said survey data associated with said user and said additional data from said at least one additional source; and 
 tagging said additional data associated with said user from said additional source. 
   
     
     
         20 . The computer-implemented method of  claim 19 , wherein said additional data from said additional source includes browsing history associated with said user.