About This Project
In FY2019, RIKEN launched a project to promote open science. The initiative aims to develop foundational technologies for data accumulation, to aggregate open data from both within and outside RIKEN, and to conduct research and development for the effective utilization and analysis of open data.
As part of this initiative, the Open Life Science Platform seeks to collect and integrate multimodal data generated by RIKEN’s life science research across multiple biological scales—from molecules to cells and whole organisms—using diverse measurement technologies. By leveraging big data analytics, including machine learning and artificial intelligence, the platform aims to enable data-driven, high-resolution prediction and manipulation of cellular and organismal states.
Specifically, we will construct a comprehensive and unprecedented analytical infrastructure that aggregates imaging, phenotypic, and omics data produced by RIKEN’s life science centers, spanning molecular, cellular, and organismal levels. These datasets will be curated by expert data curators and enriched with machine-readable metadata to ensure accessibility for computational use. Advanced big data analysis methods based on machine learning and artificial intelligence will then be applied to quantitatively represent and predict the states of cells and organisms.
Through this platform, we aim to provide optimized research navigation enabled by open big data, thereby transforming the style of life science research and realizing a new paradigm of data-driven life science.
