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[目的/意义]对科学数据用户相关性线索与标准间关系进行研究,探索数据选择过程中线索与标准发挥的作用,从而为开发智能搜索引擎,提高检索效率提供依据。[方法/过程]选取36名农业领域的研究生,通过出声思考、全程录像和事后访谈的方法研究他们的科学数据检索行为,并使用扎根理论的方法对行为记录报告进行分析。[结果/结论]识别了用户相关性判断使用的科学数据特征集合,建立了科学数据相关性线索集和标准集。在此基础上,构建了科学数据线索与标准间映射关系,初步探索了科学数据用户相关性线索与标准的使用模式。
[Purpose / Significance] To study the relationship between users’ clues and standards in scientific data and explore the role of clues and standards in data selection process, so as to provide basis for developing intelligent search engines and improving search efficiency. [Methods / Process] Thirty-six graduate students in agriculture were selected to study their scientific data retrieval behavior through sound thinking, full-length video recording and after-the-fact interview, and the grounded theory was used to analyze the behavioral record reports. [Results / Conclusion] The set of scientific data features used for user relevance judgment was identified, and a set of scientific data relevance clues and standard sets were established. On this basis, the mapping relationship between scientific data clues and standards is established, and the usage patterns of clues and standards of scientific data users are tentatively explored.