Attempts to Optimize Business Flows for Bioscience Data Sharing in the Comprehensive Pre-symptomatic Database Project

Abstract

The Moonshot R&D Program is a large-scale national research program established under the concept of pursuing disruptive innovations in Japan and promoting challenging R&D based on revolutionary concepts. Of the R&D included in the program, Moonshot Goal 2 promotes R&D on technologies related to disease observation, manipulation, measurement, analysis, database creation and more to realize ultra-early disease prediction and intervention. In this project, the construction of a comprehensive Pre-symptomatic (Mebyo) Database is being developed to realize cross-sectional mathematical collaborative research and bioscience data sharing by setting three specific tasks: (a) storage/management/sharing of diverse pre-symptomatic data, (b) programming and execution of mathematical analysis, and (c) publication of pre-symptomatic data. In developing the database, bioscience data sharing is subject to the requirement to set the scope of sharing according to research needs and various restrictions such as informed consent imposed by contracts, treaties, laws and regulations, policies, and so on. To address this issue, an optimized data management system that simultaneously fulfills both requirements is required. Therefore, this study examines the standard business flow up to bioscience data sharing through interviews with researchers participating in Goal2. Furthermore, we evaluate the developed business flow using the NII Research Data Cloud (NII RDC), a national research data infrastructure that the authors are involved in developing.