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Building Agricultural Science And Technology Information Databases For Innovative Research
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org
Citation: Computers in Agriculture and Natural Resources, 4th World Congress Conference, Proceedings of the 24-26 July 2006 (Orlando, Florida USA) Publication Date 24 July 2006 701P0606.(doi:10.13031/2013.21936)
Authors: Meng Xianxue, Zhao Ruixue, Yang Congke, Li Xue
Keywords: Database, Science data, Data Center, Information Management
Science data are very important resources for innovative research in all scientific disciplines.
The Ministry of Science and Technology (MOST) of China has launched a comprehensive platform
program for supporting scientific innovations and agricultural science database construction and sharing
project is one of the activities under this program supported by MOST. This paper briefly describes the
achievements of the Agricultural Science Data Center Project.
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The Project was initiated in 2002. The overall framework for data integration has been determined. At
the top level, the data are classified into 12 categories, and they include data in crop science, animal and
veterinary sciences, fishery science, tropical crop science, agricultural resources and environmental science,
agricultural zonation science, grassland science, food science, agricultural biotechnologies, agricultural
microbiology, agricultural information technology and management, and other basic agricultural
information and data. At the second level, data included in each of the above 12 categories are classified
into about 5 core databases. And at the third level, about 10 databases or data sets are planned into each of
the core database. So the final pattern of the data integration is as follows: 12 categories, about 60 core
databases and about 600 databases or data sets.
As of the end of 2005, over 170 databases or data sets have been developed and new data and databases
will be added during the following years. All the databases are open to agricultural scientists, and they can
be accessed through the Internet at the Agricultural Science Data Center website (http://www.agridata.cn).