1. A computer-implemented method comprising: storing, on one or more storage devices associated with a super-platform, data generated at a plurality of individual platforms, the data associated with at least one end-user of the plurality of individual platforms; determining data tracking information including one or more events associated with the data, the one or more events including a distribution of the data to a data consumer, the data tracking information including a blockchain associated with the data; based at least partly on the data tracking information, determining a data consumer trust metric that indicates a level of trust in the data consumer; determining a data provider trust metric that indicates a level of trust in one or more of an end-user and an individual platform that generated the data, the data provider trust metric based at least partly on at least one trust rating provided by at least one data consumer; incorporating the data provider trust metric into the data tracking information associated with the data; aggregating the data from multiple individual platforms to generate aggregate data; determining aggregate data tracking information including one or more events associated with the aggregate data; and presenting the data consumer trust metric to the at least one end-user.