RECOMMENDATIONS TO REALIZE A SOCIALSECURITY SYSTEM FOR ALL GENERATIONS
11/20

RECOMMENDATION 2 INTEGRATE EXISTING DATABASES AND SYSTEMS ONTO COMPREHENSIVE INTEROPERABLEDATA PLATFORMS TO ENHANCE THE USEFULNESS OF AVAILABLE DATAIf we only follow the lead of Europe, America and China, Japancannot surpass other countries in efforts to accelerate a datarevolution. Japan needs a "strong catalyst" to develop data-relatedmarkets such as big data, IoT, and artificial intelligence.With a persistent budget deficit and accumulating governmentdebt, there is a limit to how much money can be expended on thefourth industrial revolution. If a scheme such as data securitizationcan be implemented, it could become a catalyst for acceleratedgrowth for big data, IoT, and artificial intelligence if we can harnessthe power of finance, including Japan's 1,800 trillion yen in personalfinancial assets, as well as money from around the world.When investing in big data, IoT, artificial intelligence, etc., thecollection and maintenance of large scale, high quality data isexpensive, and in many cases, venture capitalists and others arehesitant to collect and maintain the necessary funds for datacollection and maintenance, even for projects with future earningspotential.In real estate, there are "collective investment schemes" such as"real estate REITs" and real estate securitization, and it is wellknown that the legislative changes that enabled them have beenthe catalyst for real estate development. In a similar vein, similar"collective investment schemes" could be created for rights derivedfrom big data, IoT and artificial intelligence. For instance, theequivalent of a real estate REIT in Big Data would be a "Big DataInvestment Trust" (BDIT). In establishing such a scheme, we couldconsider "data securitization" as a catalyst for the data industrialrevolution.Japan would be the first country in the world to develop a legalframework for a "collective investment scheme" that allows for thecollection of money from an unspecified number of investors(domestic and foreign) for rights derived from big data, IoT andartificial intelligence (AI), while allowing for the distribution of profits.CURRENT ISSUES RECOMMENDED DIRECTIONACTION 1 |PAGE | 05born to the time they die. It is critical that theapproach ensures interoperability acrossorganizational boundaries and the adoption of acloud-based infrastructure that can support thesafety and longevity of the integrated data sources.In healthcare, data silos prevent patients,healthcare providers and medical researchersfrom accessing data. This presents major safetyconcerns for patients who may be treated atmultiple institutions, where vital information maybe contained within a data source to which adoctor treating a patient does not have access. Italso limits medical research, as it may beimpossible to make connections between multipledata sources that could lead to new diseaseinsights. As such, platforms can be regarded as afundamental or public infrastructure. Thegovernment needs to offer active support forthese pioneering initiatives in the short term inorder to facilitate discussions on specificoperational matters and approaches concerninginformation usage rights as well as theintroduction of these initiatives into the widersociety. We also believe that these initiatives willcreate future investment opportunities, includingthe discovery of new industrial possibilities and thedemocratization of data as a catalyst forrevolutionizing the data industry.

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