[Purpose/significance] This paper focuses on the relationship between scientific data user relevance criteria and clues, so as to provide a basis for intelligent search engine design and improving the retrieval efficiency. [Method/process] This study selected 36 agricultural graduate students, studying their scientific data retrieval behavior by thinking aloud, video recording and the interview method. The data were analyzed by the grounded theory. [Result/conclusion] The paper identifies a set of scientific data features used for relevance judgment, and established scientific data user relevance clue set and criterion set. On this basis, the paper constructs the mapping relationship between scientific data clues and criteria, and explores the usage patterns of scientific data users' relevance clues and criteria.
Gao Fei
,
Shi Lei
,
Wang Jian
,
Zhang Guilan
,
Liu Jianping
. An Exploratory Research on the Relationship Between Agriculture Scientific Data User Relevance Clues and Criteria[J]. Library and Information Service, 2017
, 61(15)
: 72
-80
.
DOI: 10.13266/j.issn.0252-3116.2017.15.008
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