期刊文献+

跨学科行动计划下的合作演进特征测度——以TREC1为例 被引量:6

Measuring the Evolution Under Action Plan of Cross-disciplinary Collaboration:A Case Study on TREC1
下载PDF
导出
摘要 采用综合方法对国外成功的跨学科实践进行测度、揭示其演进特征与经验,对提高我国跨学科合作绩效具有借鉴价值。本文设计了跨学科合作演进特征的测度框架,以美国能量和癌症的跨学科行动计划(TREC1)的实施为样本,应用文献计量的共现与共类方法和社会网络分析方法,对研究领域的学科交叉性及合作紧密性指标进行了测度。研究发现:TREC1合作具有明显的社会移动性和阶段性特征,且合作准备期短、主要支撑学科成分稳定、交叉性从强到弱波动;合作具有广泛性与集中性兼俱的特征、紧密性由渐进增强到最大然后减弱。文章最后总结了TREC1行动计划的经验与启示。 The measuring of cooperation under the plan of successful interdisciplinary action can benefit to discover the rule and reason of scientific cooperation evolution. In this paper, TREC 1(Transdisciplinary Research on Energetics and Cancer) being taken as a sample, the method of the co-occurrence and co-class and social network analysis is applied to explore the dynamic features, such as Transdisciplinary Degree of research domain and Close Degree of cooperation. The results suggest that the process of science cooperation in TREC shows distinct stage and social mobility. The characteristics of short period of collaboration readiness, the stability of main discipline composition, the fluctuation of Transdisciplinary Degree and Close Degree is also discoveried. This paper finally discusses the successful reason.
作者 代君 叶艳
出处 《图书情报知识》 CSSCI 北大核心 2014年第6期75-90,共16页 Documentation,Information & Knowledge
基金 国家社会科学基金项目"基于信息视域的跨学科协同信息行为与特征研究"(14BTQ068)的成果之一
关键词 学科交叉度 合作紧密度 演进 测度 Transdisciplinary degree Close degree Evolution Measure
  • 相关文献

参考文献20

  • 1TREC网站链接[2014-06-22].http://wwwtrecscienceorg/trec/default.aspx.
  • 2Klein J T. Evaluation of interdisciplinary and transdisciplinary re- search - A literature review[J]. Am J Prev Med, 2008, 35 (2): S116-S123.
  • 3Jarvenpaa S L, Knoll K, Leidner D E. Is anybody out there? An- tecedents of trust in global virtual teams[J]. Journal of Manage- ment Information Systems, 1998, 14:29-64.
  • 4Faraj S, Sproull L. Coordinating expertise in software develop- ment teams[J]. Manage Sci, 2000, 46( 12): 1554-1568.
  • 5Rhoten D. A Multi-method analysis of the social and technical conditions for interdisciplinary collaboration [J]. Final Report, 2003, 1-56.
  • 6Rafael S M, Jonice O, Fabricio F F, et al. Using Social Networks Analysis for Collaboration and Team Formation Identification [J]. Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Desi:, 2011, 562-569.
  • 7Jodi E B, Katrina I T, Unni S J, et al. Measuring the evolution and output of cross-disciplinary collaborations within the NCI Physical Sciences- Oncology Centers Network[J]. Research E- valuation, 2013, 22: 285-297.
  • 8赵坤,王方芳,王振维.大学跨学科组织生态治理案例研究:基于上海交通大学Bio-X研究院的分析[J].中华医学教育探索杂志,2012,11(7):661-664. 被引量:3
  • 9朱巧燕.高校跨学科团队的信息传播机制研究[J].职业时空,2011,7(4):158-159. 被引量:1
  • 10陈平,盛亚东.跨学科团队评价指标体系研究[J].科技与管理,2011,13(4):51-53. 被引量:8

二级参考文献57

共引文献159

同被引文献92

引证文献6

二级引证文献70

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部