文章摘要
付鑫金,朱礼军,曹燕,许海云.科技查新用于识别产学研潜在合作对象的方法研究[J].情报工程,2018,4(2):101-111
科技查新用于识别产学研潜在合作对象的方法研究
Research on the Methods of Identifying Potential Cooperating Objects of Industry-University- Research by Science and Technology Novelty Search
  
DOI:10.3772/j.issn.2095-915X.2018.02.011
中文关键词: 科技查新  结构洞  产学研合作
英文关键词: Science and technology novelty search  structural holes  industry-university-research cooperation
基金项目:全行业的科技查新体系构建及服务模式研究(MS2017-02),面向多关系融合的知识创新路径的识别与预测方法研究(2016M590124)
作者单位
付鑫金 太原理工大学图书馆 
朱礼军 中国科学技术信息研究所 
曹燕 中国科学技术信息研究所 
许海云 1.中国科学技术信息研究所2.中国科学院成都文献情报中心 
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中文摘要:
      科技查新的服务对象与产学研的创新主体基本一致,查新机构隶属于科技服务业,利用自身的结构洞优势,可以开展产学研潜在合作对象识别的工作。机构类型不同的、所在地区相近的、技术主题相关的机构更容易产生合作,据此,构建查新机构用于识别潜在合作对象的方法指标体系。选取生物科学学科数据,构建主题- 机构共现网络,经分析,得到四类研究主题,倾向于研究该主题的机构处于同一省区且类型不同,潜在合作的可能性较大。查新工作亟待查新档案的密级鉴定和精细化存储平台的统一标准,从而更好地为用户提供精准服务,提高创新能力。
英文摘要:
      The service objects of science and technology novelty search are basically the same as the innovation subjects of industry-university-research cooperation. Under the advantage of its own structural hole, the science and technology novelty search institutions can be engaged in the work of identifying potential partners. The institutions with different types, close areas and the related technical subjects are more likely to cooperate with each other. On the basis of this,the methodological index system for identifying the potential partners was constructed and the concrete steps were given. This study selected and analyzed the biological science disciplines data constructed the topics-institutional co-occurrence network. The results presented that there are four kinds of research topics. Institutions within the same topics come from the same provinces and different types, and the possibility of potential cooperation was greater. The research also suggested that the urgent needs of novelty search are to find out the file density identification and refinement of the unified storage platform standards, so as to better provide accurate service and improve innovation to the user.
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