The degree of agricultural scientific data sharing and utilization can directly reflect the level of agricultural science and technology of a region or a
country, and also impact the capacity of the agricultural science and technology
on sustainability, stability, and continuous development and improvement.
In this paper, from the point of view of the synergetics, we used the Xinjiang
agricultural scientific data sharing as a case study to develop the collaborative
architecture of agricultural scientific data sharing and analyze the collaborative
relationships between data subjects and between data subjects and their subsystems. We applied middleware and metadata to realize the integration of
the distributed and heterogeneous data, and built the integrated architecture,
the overall framework and the function modules of the Xinjiang agricultural
scientific data sharing platform. The system was expected to provide the subjectoriented data services, and different access authority of the data sharing services
for data users at different levels of data requests. In order to achieve the ultima
objectives of the system orientations of services, network and users, we pursued
the optimization of the system management of the Xinjiang agricultural
scientific data sharing, and deal with the overwhelming data sharing demand of
the Xinjiang agricultural scientific data from the synergetic point of view.