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基于元人种志的科学数据共享关键影响因素识别
引用本文:孙俐丽,赵乃瑄.基于元人种志的科学数据共享关键影响因素识别[J].情报理论与实践,2020,43(3):91-97,52.
作者姓名:孙俐丽  赵乃瑄
作者单位:南京工业大学图书馆,江苏 南京210023;南京工业大学图书馆,江苏 南京210023
基金项目:江苏省社会科学基金项目“基于共生理论的江苏省科学大数据开放共享机制与模式研究”的成果,项目编号:19TQC001。
摘    要:目的/意义]科学数据共享面临着科研人员参与度不高的挑战。识别影响科学数据共享的关键因素、探究因素之间的内在关联,对于从根本上推进科学数据共享具有重要意义。方法/过程]通过元人种志这一较为新颖的定性分析方法对原始研究进行收集、转译、驳斥与集成,形成影响因素集,再通过复杂系统DEMATEL模型定量分析因素之间的相互作用,根据量化结果进行因果分类和重要性分析。结果/结论]经测算发现,除了前人研究普遍提及的数据共享氛围、共享态度、主观规范、数据共享政策等因素外,互惠预期、社会统计学因素、激励机制、数据基础设施等因素在整个复杂系统中也具有较高的中心度。

关 键 词:科学数据  数据共享  影响因素  元人种志

Identifying Key Influence Factors of the Scientific Data Sharing:Based on Meta-ethnography
Abstract:Purpose/significance] Scientific data sharing faces the challenge of low participation of scientific researchers.Identifying the key factors affecting the sharing of scientific data is of positive significance for promoting the opening and sharing of scientific data fundamentally.Method/process] Meta ethnography was used as a new qualitative analysis method to collect,translate,refute and integrate the original research in order to inform the collection of influence factors.The DEMATEL model of complex system is used to analyze the interaction between factors quantitatively.Then the causal classification and importance analysis are carried out according to the quantitative results.Result/conclusion] In addition to the factors commonly mentioned in previous studies,such as data sharing atmosphere,sharing attitude,subjective norms and data sharing policy,this study find that reciprocal expectation social statistics factors,incentive mechanism,data infrastructures and other factors are also important in the whole complex system.
Keywords:scientific data  data sharing  influence factor  meta-ethnography
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