大数据环境下农业知识服务协作体系探索与实践

随着大数据环境下农业管理及科研创新的需求变化，快速、精准、深度、专业的信息知识服务的重要性日益凸显。为解决农业知识服务供需信息不对称问题、提升农业图书情报行业的整体竞争力和知识服务的精准供应，提出通过联合科研高校等农业机构，共同推动农业知识协作服务的开展。通过分析新环境下农业知识用户特征以及个性化需求，设计了农业体系知识服务协作体系的共建机制，详细介绍了协作体供给侧和服务侧的内容、服务模式及服务产品。最后基于协作体系目前的建设进展，提出了现存问题和改进建议，以期为我国农业领域知识协作服务以及跨领域知识协助服务提供参考和借鉴。

Exploration and Practice of Agricultural Knowledge Service Cooperation System in the Big Data Environment

With the demand change of agricultural management and scientific research innovation in the big data environment, the importance of fast, accurate, in-depth and professional information knowledge service has become increasingly prominent. In order to solve the information asymmetry between supply and demand of agricultural knowledge services, improve the overall competitiveness of agricultural library and information industry and the accurate supply of knowledge services, this paper proposed to promote the development of agricultural knowledge collaborative services by cooperating with institutions and universities. By analyzing the characteristics of agricultural knowledge users and individual needs in the new environment, this paper designed the co-construction mechanism of agricultural system knowledge service collaboration system, and introduced the content and products of the supply side and service side of the collaboration. Finally, based on the current construction progress of the collaboration system, the existing problems and improvement suggestions were put forward to provide reference for China’s agricultural knowledge collaboration services and cross domain knowledge assistance services.