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.