In 2018, the University of China Data Center implemented the platform construction and technology implementation with the “ONE BGI ONE PLATFORM” strategy. Facing the existing data platforms and applications in various systems of the University, it was supported and penetrated by platform-level services and capabilities. As of December 31, 2018, the BGI Life Big Data Platform has completed data penetration and support in seven directions including BGI research, whole genomics, health, medicine, insurance finance, public health, and biotech. Pb-level high-speed computing capabilities have realized the full closed-loop of production, collection, storage, display, and application of life omics data, serving the group's "life dyeing, reading, writing, and storage" goals.
The core of BGI's data platform shows the six service supports of the life big data platform: "production and sample management", "data standards", "security and privacy protection + blockchain BAAS", "intelligent analysis and mining", "data "Collection and cleaning", "data services and governance", and so on, serving the group's "life dyeing, reading and writing storage" goals.
In 2018, big data centers aim at technological breakthroughs in key areas of life big data, and truly realize life big data with breakthroughs in key technologies. Focusing on core capacity building and serving the big data platform for life, Huada has created multiple "most" in the industry.
As of December 2018, BGI's data processing platform has completed the formulation and analysis of five enterprise data and product standards, including genomics data standards, metagenomics data standards, and transcriptome data standards. At the same time, it initiated the drafting of a total of 14 international, domestic and corporate omics data and product data standards, including the General Requirements for Metagenomics Data Processing, Gene Health Service Standards, and HPV Monitoring Data Standards. Construction of industry data standards.
Focusing on the breakthrough of core advantages, the Big Data Center actively participated in national, provincial, and municipal scientific research projects in 2018, and participated in domestic and international data standards and other related work.
In May 2018, at the Guiyang Digital Fair, the Life Big Data platform won the "Xinghe Award".
In June 2018, the "White Paper on Huada Blockchain" was released.
In September 2018, relying on blockchain technology to deploy a maternal and child medical health and medical big data platform in Changsha.
In October 2018, as a data application open platform, personal genomic applications are open to all third-party users to implement intensive and controlled gene big data operation applications.
In October 2018, CNGBdb was released for the first time on ICG-13. It is based on the domestic big data platform and serves the whole world. As a "genetic Google", it has a Chinese voice.
In December 2018, it was awarded the “Guangdong Life Big Data Engineering Technology Research Center” by the Department of Science and Technology of Guangdong Province. It is also the only engineering technology research center related to life big data and health medical big data in Guangdong Province.
In June 2016, the General Office of the State Council issued the "Guiding Opinions on Promoting and Standardizing the Development of Health and Medical Big Data Applications", incorporating the development of health and medical big data applications into the national strategic layout of big data, and clarifying that health and medical big data will be basically completed by 2020. National and regional centers. In September 2018, several ministries and commissions such as the National Health and Medical Commission and the National Cyberspace Office jointly issued the National Health and Medical Big Data Standards, Security and Service Management Measures (Trial), introducing information security and health and medical big data to the country for the first time. At the strategic level, the dimensions of data standards, data security, data subject responsibility, and data service sharing were introduced into the management approach, and action guidelines were established for the standardization of research and development of health and medical big data.
In 2018, based on the advantages of full penetration of its life sciences data, Huada proposed the methodology of life data 2B4D. It is the first in the country to propose the use of life sciences data to penetrate health medical big data to truly realize service research, guide people's livelihood, Facing industrial development and helping to achieve a healthy China 2030.
In 2018, Huada, together with governments, medical institutions and partners around the world, jointly explored the industrial services and precision medical value of health medical big data, served the country's strategic layout of the western fulcrum, and provided suggestions for the construction of the national health medical big data western center. At the same time, actively participate in the implementation of Changsha and Fuyang health and medical big data maternal and child medical consortium platforms, and participate in the construction of health and medical big data, gene big data platforms, and public service platforms in Chongqing, Nanjing, Guangxi, Qinghai, Shanxi, Shaanxi, and Sichuan. At the same time, it is also exploring the application of big data across omics in Xiamen, Shanghai, Guizhou, Tibet and other places to realize the clinical application of genetic through-omics data.
The University of Life Big Data platform has basically formed a characteristic data operation model of "Data Application Market" + "Developer Platform" + "Blockchain BAAS". It provides comprehensive query and analysis statistics after authorization and approval. Function, realizes no distinction between data sources, no matter which responsible subject institution produces the data; it can be verified by a third-party-oriented trusted environment to achieve data API interface packaging and docking; realize third-party calculation results output, can be authorized Query the life cycle data after desensitization in the backup database.