SIGNAL OF TRUST ACCESS PRIORITIZATION
One example method includes receiving from a user, by a trust algorithm, primary input that comprises a user query that specifies search parameters, a list of one or more trust factors, or is automatically assigned a list of trust factors based on organizational requirements, and a respective user-specified weighting for each trust factor definition, receiving secondary system inputs and, based on the search parameters, retrieving data from the secondary system inputs, running, on the data retrieved from the secondary system inputs, one or more trust factor functions, each of which generates a respective trust factor, generating a trust score by running a trust score function on the trust factors, aggregating the data with the trust score to create a result set, and storing the result set.
1 . A method comprising the operations:
receiving from a user, by a trust algorithm, primary input that comprises a user query that specifies search parameters, a list of one or more trust factor definitions, and a respective user-specified weighting for each trust factor definition;
receiving secondary system inputs and, based on the search parameters, retrieving data from the secondary system inputs;
running, on the data retrieved from the secondary system inputs, one or more trust factor functions, each of which generates a respective trust factor;
generating a trust score by running a trust score function on the trust factors;
aggregating the data with the trust score to create a result set; and
storing the result set.
2 . The method as recited in claim 1 , wherein the list of one or more trust factor definitions comprises a list of one or more trust factor definitions that have been prioritized by the user.
3 . The method as recited in claim 1 , wherein the trust score is associated with a particular point in time.
4 . The method as recited in claim 1 , wherein calculation of the trust score for the dataset is repeatable.
5 . The method as recited in claim 1 , wherein the trust score is specific to a context identified by the user in the primary input.
6 . The method as recited in claim 5 , wherein the context includes an intended use of the data.
7 . The method as recited in claim 1 , wherein each trust factor definition has a respective weight.
8 . The method as recited in claim 1 , wherein the secondary inputs comprise information identifying a source of the data.
9 . The method as recited in claim 1 , wherein the result set comprises a list of datasets, sorted according to a relative priority of the trust factor definitions identified by the user.
10 . The method as recited in claim 1 , wherein performing the method using primary inputs from a second user, but not the first user, results in new set of trust factor definitions and a new trust score different from, respectively, the trust factor definitions and the trust score.
11 . A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising:
receiving from a user, by a trust algorithm, primary input that comprises a user query that specifies search parameters, a list of one or more trust factor definitions, and a respective user-specified weighting for each trust factor definition;
receiving secondary system inputs and, based on the search parameters, retrieving data from the secondary system inputs;
running, on the data retrieved from the secondary system inputs, one or more trust factor functions, each of which generates a respective trust factor;
generating a trust score by running a trust score function on the trust factors;
aggregating the data with the trust score to create a result set; and
storing the result set.
12 . The non-transitory storage medium as recited in claim 11 , wherein the list of one or more trust factor definitions comprises a list of one or more trust factor definitions that have been prioritized by the user.
13 . The non-transitory storage medium as recited in claim 11 , wherein the trust score is associated with a particular point in time.
14 . The non-transitory storage medium as recited in claim 11 , wherein calculation of the trust score for the dataset is repeatable.
15 . The non-transitory storage medium as recited in claim 11 , wherein the trust score is specific to a context identified by the user in the primary input.
16 . The non-transitory storage medium as recited in claim 15 , wherein the context includes an intended use of the data.
17 . The non-transitory storage medium as recited in claim 11 , wherein each trust factor definition has a respective weight.
18 . The non-transitory storage medium as recited in claim 11 , wherein the secondary inputs comprise information identifying a source of the data.
19 . The non-transitory storage medium as recited in claim 11 , wherein the result set comprises a list of datasets, sorted according to a relative priority of the trust factor definitions identified by the user.
20 . The non-transitory storage medium as recited in claim 11 , wherein performing the operations using primary inputs from a second user, but not the first user, results in new set of trust factor definitions and a new trust score different from, respectively, the trust factor definitions and the trust score.