Personal, omic, and phenotype data community aggregation platform

Abstract

A system and method are disclosed for the collection and aggregation of genomic, medical, and other data of interest for individuals and populations that may be of interest for analysis, research, pharmaceutical development, medical treatment, and so forth. Contributors become members of a community upon creation of an account and providing of data or files. The data is received and processed, such as to analyze, structure, perform quality control, and curate the data. Value or shares in one or more community databases are computed and attributed to each contributing member. The data is controlled to avoid identification or personalization. Third parties interested in the database information may contribute value (e.g., pay) for access and use. Value flows back to the members and to a system administrative entity.

1 . A system comprising:
 a server that, in operation, serves interface pages to contributing members of an aggregation community for receipt of member-specific account data and member-specific contributed data, the member-specific contributed data comprising omic and/or phenotype data submitted by each contributing member or data derived therefrom;   a database maintained by an administrative entity that, in operation, stores and aggregates the member-specific contributed data with member-specific contributed data contributed by other contributing members, wherein the database comprises an immutable and/or cryptographically encoded ledger and/or a blockchain; and   processing circuitry maintained by the administrative entity that, in operation, performs a quality analysis on the member-specific contributed data, stores a value indicative of the quality analysis, processes member-specific account data received from the contributing members via the interface pages to establish member-specific accounts based on the member-specific account data, and attributes a member-specific value to the member-specific accounts based upon respective member-specific contributed data.   
     
     
         2 . The system of  claim 1 , wherein the processing circuitry attributes the member-specific value based upon a pre-established calculation applied to all contributing members. 
     
     
         3 . The system of  claim 1 , wherein the processing circuitry transfers an asset amount to each member-specific account as consideration for member-specific contributed data of the respective contributing member. 
     
     
         4 . The system of  claim 3 , wherein the asset amount is calculated by a formula having a generalized form:
     F=x/y;      wherein F is a fraction of ownership; x is a sum of ((W1)×(sum of data units of a first type of data unit)+(W2)×(sum of data units of a second type of data unit)+(W3)×(sum of data units of a third type of data unit) . . . +(Wn)×(sum of data units of an n type of data unit)) associated with the account; y is a sum of ((W1)×(sum of data units of the first type of data unit)+(W2)×(sum of data units of the second type of data unit)+(W3)×(sum of data units of the third type of data unit) . . . +(Wn)×(sum of data units of the n th  type of data unit)) associated with all accounts; and W1, W2, W3 . . . Wn are optional weighting factors.   
     
     
         5 . The system of  claim 1 , wherein the database is configured to store member-specific contributed data of different types, and the processing circuitry attributes the member-specific value based upon types of member-specific contributed data submitted by each member. 
     
     
         6 . The system of  claim 5 , wherein the types of member-specific contributed data comprise at least omic and phenotype data, and also at least one of health data, personal data, familial data and environmental data. 
     
     
         7 . The system of  claim 6 , wherein the omic data comprises one or more of genomic data, microbiomic data, epigenomic data, transcriptomic data, viromic, pathogenomic, and proteomic data. 
     
     
         8 . The system of  claim 7 , wherein the genomic data comprises one or more of genotype data, single nucleotide polymorphism data, short tandem repeat data, microsatellite data, haplotype data, epigenomic data, genome methylation data, microbiomic data, whole or partial gene sequence data, whole or partial exome sequence data, whole or partial chromosome data, and whole or partial genome sequence data. 
     
     
         9 . The system of  claim 6 , wherein the health data comprises one or more of medical record data, exercise data, dietary data and wearable device data. 
     
     
         10 . The system of  claim 1 , wherein the database is configured to separately store member-specific contributed data for a respective member personally, an animal, plant, or microbial species owned or controlled by a respective member, and an environment owned or controlled by a respective member. 
     
     
         11 . The system of  claim 1 , wherein the member-specific value is attributed as a currency and/or a cryptocurrency and/or an ownership share in the database. 
     
     
         12 . The system of  claim 1 , wherein the quality analysis is tuned by artificial intelligence and/or machine learning. 
     
     
         13 . A system comprising:
 a server that, in operation, serves interface pages to contributing members of an aggregation community for receipt of member-specific account data and member-specific contributed data, the member-specific contributed data comprising omic and/or phenotype data submitted by each contributing member or data derived therefrom;   a database that, in operation, stores and aggregates the member-specific contributed data with member-specific contributed data contributed by other contributing members, wherein the database comprises an immutable and/or cryptographically encoded ledger and/or a blockchain; and   processing circuitry that, in operation, performs a quality analysis on the member-specific contributed data, stores a value indicative of the quality analysis, processes member-specific account data received from the contributing members via the interface pages to establish member-specific accounts based on the member-specific account data, and attributes a member-specific value to the member-specific accounts based upon respective member-specific contributed data;   wherein the processing circuitry attributes the member-specific value based upon a pre-established calculation applied to all contributing members; and   wherein the processing circuitry transfers an asset amount to each member-specific account as consideration for the member-specific contributed data of the respective contributing member.   
     
     
         14 . The system of  claim 13 , wherein the asset amount is calculated by a formula having a generalized form:
     F=x/y;      wherein F is a fraction of ownership; x is a sum of ((W1)×(sum of data units of a first type of data unit)+(W2)×(sum of data units of a second type of data unit)+(W3)×(sum of data units of a third type of data unit) . . . +(Wn)×(sum of data units of an n type of data unit)) associated with the account; y is a sum of ((W1)×(sum of data units of the first type of data unit)+(W2)×(sum of data units of the second type of data unit)+(W3)×(sum of data units of the third type of data unit) . . . +(Wn)×(sum of data units of the n th  type of data unit)) associated with all accounts; and W1, W2, W3 . . . Wn are optional weighting factors.   
     
     
         15 . The system of  claim 13 , wherein the database is configured to store member-specific contributed data of different types, and the processing circuitry attributes the member-specific value based upon types of member-specific contributed data submitted by each member. 
     
     
         16 . The system of  claim 15 , wherein the types of member-specific contributed data comprise at least omic and phenotype data, and also at least one of health data, personal data, familial data and environmental data. 
     
     
         17 . The system of  claim 16 , wherein the health data comprises one or more of medical record data, exercise data, dietary data and wearable device data. 
     
     
         18 . The system of  claim 1 , wherein the database is configured to separately store member-specific contributed data for a respective member personally, an animal, plant, or microbial species owned or controlled by a respective member, and an environment owned or controlled by a respective member. 
     
     
         19 . The system of  claim 1 , wherein the member-specific value is attributed as a currency and/or a cryptocurrency and/or an ownership share in the database. 
     
     
         20 . A computer-implemented method comprising:
 serving interface pages from a server to contributing members of an aggregation community;   receiving, from the contributing members, member-specific account data and member-specific contributed data, the member-specific contributed data comprising omic and/or phenotype data submitted by each contributing member or data derived therefrom;   storing, in the database, the member-specific contributed data, wherein the database comprises an immutable and/or cryptographically encoded ledger and/or a blockchain;   aggregating the member-specific contributed data with member-specific contributed data of other contributing members;   establishing a member-specific account for each contributing member based on the member-specific account data; and   attributing a member-specific value to each member-specific account based upon member-specific contributed data of the respective contributing member, wherein the member-specific value is attributed based upon a pre-established calculation applied to all contributing members, and an asset amount is transferred to each member-specific account as consideration for member-specific contributed data submitted by each member or for data derived therefrom.