Table 8.

Changes between the traditional and the present data service.

	Traditional data services	Data services base on the platform
Data visualization	Data not visible	Users can visually view the available data catalog
Data retrieval	Data engineers develop code through experience	Users can customize the search format and output format through the search engine and preview the results
Data approval	Data are available after ethical review and clinical study program approval	Data are available after ethical review and clinical study program approval
Data mining	Use your own computer to analyze data	Development environment and tools, such as R, SPSS, and Python, can be used on the platform, and computing power provided by the platform can be called by data mining algorithm
Data download and access	Download the data which data engineers develop and perform encryption	The platform creates accounts with different permissions for registered users. In a network environment after security authentication, authorized users can log in to the big data platform unified portal through virtual desktop infrastructure. The platform provides each authorized user with private storage space of different capacities. Users can directly store their research results in this space, or install the software developed by our college on their personal computers to transfer the research results to personal computers