“数据智能”背景下的数据计量学研究方法体系构建

Construction of Datametrics Research Method System under the Background of“Data Intelligence”

[目的/意义]尝试构建数据计量学研究方法体系,为我国数据计量学学科体系的完善与发展提供参考借鉴。[方法/过程]文章以近十年内图书情报学期刊中与数据计量学相关论文为例,采用统计分析法、内容分析法及社会网络分析法识别、归纳并梳理了研究方法的具体类型、使用现状以及潜在关联性。[结果/结论]采用改进“四层次说”构建了涵盖哲学思维方法、一般科学方法、计量科学方法以及数据智能方法等4个层次的数据计量学研究方法体系,并得出了促进数据计量学研究方法发展的启示:拓展数据智能方法,完善研究方法体系;根据实际研究内容,融合多元研究方法;强化学科交叉融合,注重方法迁移应用。

[Purpose/significance]Try to build a datametrics research method system to provide reference for the improvement and development of my country’s datametrics discipline system.[Method/process]Taking the papers related to datametrics in library and information science journals in the past ten years as an example,the article uses statistical analysis,content analysis and social network analysis to identify,summarize and sort out the specific types of research methods,their current status and potential relevance.[Result/conclusion]Using the improved“four-level theory”,a datametrics research method system covering four levels including philosophical thinking method,general scientific method,quantitative scientific method and data intelligence method is constructed,and the enlightenment for promoting the development of datametrics research method is drawn:Expand data intelligence methods and improve the research method system;integrate multiple research methods according to the actual research content;strengthen the cross-disciplinary integration,and focus on method transfer and application.