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.
Claims
exact text as granted — not AI-modified1 . 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 centralized 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; and processing circuitry maintained by the administrative entity that, in operation, 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 the fraction of ownership; x is the sum of ((W 1 )×(sum of data units of a first type of data unit)+(W 2 )×(sum of data units of a second type of data unit)+(W 3 )×(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 the sum of ((W 1 )×(sum of data units of the first type of data unit)+(W 2 )×(sum of data units of the second type of data unit)+(W 3 )×(sum of data units of the third type of data unit) . . . +(Wn)×(sum of data units of then type of data unit)) associated with all accounts; and W 1 , W 2 , W 3 . . . 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 user-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 contributed data undergoes a quality analysis and a value and/or store indicative of the quality analysis is stored.
13 . The system of claim 12 , wherein the quality analysis is tuned by artificial intelligence and/or machine learning.
14 . The system of claim 13 , wherein the database comprises an immutable and/or cryptographically encoded ledger and/or a blockchain.
15 . 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; and processing circuitry that, in operation, 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.
16 . The system of claim 15 , wherein the database comprises an immutable and/or cryptographically encoded ledger.
17 . The system of claim 15 , wherein the immutable ledger comprises a blockchain.
18 . 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 a database, the member-specific contributed data; 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.
19 . The method of claim 18 , 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.
20 . The method of claim 18 , wherein the database comprises a immutable and/or cryptographically encoded ledger and/or a blockchain.
21 . 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 personal data submitted by each contributing member or data derived therefrom; a centralized 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; and processing circuitry maintained by the administrative entity that, in operation, 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.
22 . The system of claim 21 , wherein the contributed data undergoes a quality analysis and a value and/or store indicative of the quality analysis is stored.
23 . The system of claim 22 , wherein the quality analysis is tuned by artificial intelligence and/or machine learning.
24 . The system of claim 21 , wherein the personal data comprises at least omic and/or phenotype data for the respective contributing member.
25 . The system of claim 21 , wherein the types of member-specific contributed data comprises at least one of health data, personal data, familial data and environmental data.
26 . The system of claim 21 , 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.
27 . The system of claim 21 , wherein the member-specific value comprises partial ownership interest in the database.
28 . The system of claim 21 , wherein the member-specific value comprises a cryptocurrency.
29 . The system of claim 21 , comprising an immutable ledger that records transactions including submission of member-specific contributed data and attribution of member-specific value.
30 . The system of claim 21 , wherein the processing circuitry attributes the member-specific value based upon a pre-established calculation applied to all contributing members.
31 . The system of claim 21 , 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.
32 . The system of claim 31 , wherein the asset amount is calculated by a formula having a generalized form:
F=x/y; wherein F is the fraction of ownership; x is the sum of ((W 1 )×(sum of data units of a first type of data unit)+(W 2 )×(sum of data units of a second type of data unit)+(W 3 )×(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 the sum of ((W 1 )×(sum of data units of the first type of data unit)+(W 2 )×(sum of data units of the second type of data unit)+(W 3 )×(sum of data units of the third type of data unit) . . . +(Wn)×(sum of data units of then type of data unit)) associated with all accounts; and W 1 , W 2 , W 3 . . .Wn are optional weighting factors.
33 . The system of claim 21 , wherein the server and processing circuitry enable the administrative entity to re-contact contributing members based upon contact information provided by the contributing members without associating the member-specific contributed data with individual member identities.
34 . The system of claim 33 , wherein the server and processing circuitry are configured to permit contributing members to opt-out of recontact by the administrative entity.Cited by (0)
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