Journal of Agricultural Big Data >
Research and Analysis of Typical Databases in Major Frontier Fields at Domestic and International Level
Received date: 2022-11-30
Online published: 2023-05-16
Science data is the basis of the innovation value chain "data-information-knowledge-wisdom", and is the most basic science and technology resource, which plays an important role in economic and social development and scientific innovation. “Outline of the 14th Five-Year Plan (2021—2025) for National Economic and Social Development and Vision 2035 of the People's Republic of China”deployed nine frontier areas for the implementation strategic science programs and science projects. A timely grasp of the current situation and demand for science data sharing in these frontier areas was significant for better strengthen the construction of China's Science Data Center and to play the role of data support for the frontier areas. This paper tracked the domestic and foreign progress in nine areas databases including artificial intelligence, quantum information, integrated circuits, life and health, brain science, biological breeding, deep earth, ocean science, and sustainable development, and investigated and analyzed from data resources, database/platform integration capabilities, application services and typical cases. The study took PANGAEA database as a representative case, which in German and in the deep sea and earth system science field, analyzed its characteristics in organizational structure, technical operation and maintenance, and operation and management process. Suggestions for scientific data governance were proposed for the requirements of frontier fields development.
Key words： data sharing; science data; database; PANGAEA; frontier areas; 14th Five-Year Plan
DUAN Bowen, WANG Juanle, SHI Lei, GAO Mengxu . Research and Analysis of Typical Databases in Major Frontier Fields at Domestic and International Level[J]. Journal of Agricultural Big Data, 2023 , 5(1) : 46 -54 . DOI: 10.19788/j.issn.2096-6369.230113
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