The uniqueness factor encourages data providers to offer unique sets of data. The uniqueness factor is calculated within a particular aggregation. Data uniqueness refers to descriptive, not numerical fields. For example, data labels. During onboarding and during determination of input data structures, certain fields can be assigned as Data Fields of Interest. The Data Field of Interest for the Uniqueness factor is distinct from that of the Completeness, though it is fine if they are the same. These are the fields that will be relevant for the Uniqueness score. The algorithm that determines uniqueness will be defined as follows. Data Fields of Interest may encapsulate multiple fields, for example (age range, gender, education level). In the case of multiple fields, the algorithm considers the combinations holistically.