promotes seamless research and development. The data sharing system will be
part of the centralized management system, and will include the research support
system and the system to facilitate the utilization of genome databases and clinical
information databases through open APIs indicated below.
o Research support system
• On-premise and cloud data-sharing systems available for use by the
research groups and consortiums will be built.
• A computing environment for analyzing the shared data will be built.
• Efforts will be made to support the installation of analysis programs and
conduct large-scale analysis and to facilitate the utilization of data.
o Facilitation of the utilization of the genome database and clinical information
database by APIs
• Efforts will be made to lower the barriers to participation through the use of
APIs, so that companies and academe can prepare reports based on their
own technologies, ideas, and data sources.
• The Analysis and Data Center will put in place an environment in which
each medical institution can prepare and return reports on its own
responsibility through the development of various analysis resources and
environments.
(3) Development of human resources
(a) Development of human resources relating to the Analysis and Data Center
The tasks required for operation, maintenance, and improvement of the
Analysis and Data Center are very diverse, and they include the construction
of genome analysis infrastructure, the construction of a system for collection
of clinical information, the preparation of patient reports, the development of
network security, and the development of an information infrastructure for data
utilization. There is therefore a need for diverse expertise among the
personnel involved in the Analysis and Data Center, including bioinformatics,
medical information, information security, clinical genetics, high-performance
computing, and cloud computing. The following points should be noted in
relation to developing and securing human resources for the Analysis and
Data Center.
• While it is essential to develop young researchers who have the ability to
take on these tasks to operate the Analysis and Data Center and keep it
running, there appears to be a significant shortage of such human
resources in Japan. A mechanism therefore needs to be examined whereby
the cooperation of graduate schools is sought to enable students to obtain
a degree by conducting research on data analysis, construction of
information infrastructure, data management, etc. at the Analysis and Data
Center.
• The development of human resources using real-world data will be
examined. This will require management of security and access logs.
• The analysis and interpretation of whole genome sequencing data is still
developing. Moreover, there have been continued innovations in the
various related fields, such as measurement technologies including long-

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