Data management and analysis
At the minimum level of data management, the study will need to ensure the security of data and privacy of patients. For this purpose, researchers need to look outside the ResearchKit platform for support. One likely method of securely hosting automatically de-identified data in the cloud is to recruit the Sage Bionetworks Bridge server. While this choice is purely based on previous ResearchKit projects, app developers may choose to adopt another solution. To avoid becoming overburdened by extensive data sets, researchers will need to adopt highly efficient tools for data analysis once the data has been collected. Health Cloud and Watson cognitive computing tools that currently support ResearchKit will allow researchers to store, aggregate and model data, combining it with other data sources to enrich research findings.