[目的/意义]数据驱动下，政府数据开放对数字治理的贡献受到了来自管理学、政治学、计算机科学等多个学科领域的关注，从跨学科视角分析政府数据开放领域知识的异质性，对于梳理领域知识结构、激活跨学科知识应用价值具有重要研究意义。[方法/过程]文章基于SSCI与CSSCI内政府数据开放近十五年的文献构建知识异质性模型并划分领域学科，运用文献增长定律、知识图谱、引文指标与文本挖掘等方法从跨学科的角度分别测度了领域知识规模、知识主题以及核心知识的异质性，以此揭示领域知识在不同学科内的差异度水平。[结果/结论]研究结果表明：政府数据开放领域知识规模的整体发展态势良好，国外领域知识在学科应用性转型上要快于国内；国外政府数据开放领域知识的主题在不同学科间的异质性较大，而国内领域知识的融合性则更高；政府数据开放领域核心知识具备明显的跨学科属性，国外核心知识的研究体系相较国内更为完善，且“图书情报学”已经成为核心知识的重要贡献学科。
[Purpose/significance] Driven by data, the contribution of opening government data to digital governance has attracted attention from many disciplines, such as management, politics, computer science and so on. Analyzing the heterogeneity of knowledge in the field of openning government data from an interdisciplinary perspective is of great significance for sorting out the knowledge structure in the field and activating the application value of interdisciplinary knowledge. [Method/process] A knowledge heterogeneity model is conducted and the domain disciplines are divided based on the documents in the field of opening government data in the past 15 years in SSCI and SSCI, and the methods of document growth, knowledge map, citation index and text mining are used to measure the differences of domain knowledge scale, knowledge subject and core knowledge from the cross-disciplinary perspective in this paper to reveal the difference level of domain knowledge in different disciplines. [Result/conclusion] The results show that the overall
development trend of knowledge scale in the field of opening government data is good, and the transformation of foreign domain knowledge in subject application is faster than that in China; the heterogeneity of foreign domain knowledge in different disciplines is larger, while the integration of domestic domain knowledge is higher; core knowledge in the field of opening government data has obvious interdisciplinary attributes. The research system of core knowledge in foreign countries is more perfect than that in China. Library and Information Science has been an important contributing discipline of core knowledge.
