The Cognitive Enhancement Process of Scientific Data Retrieval
Authors: 
Jianping Liu, Jian Wang, Guomin Zhou, Guilan Zhang, Yunpeng Cui, Juan LiuAuthors Info & Claims
Jianping Liu, Jian Wang, Guomin Zhou, Guilan Zhang, Yunpeng Cui, Juan LiuAuthors Info & ClaimsArticle No.: 1, Pages 1 - 7
Abstract
Is there a stable cognitive structure of scientific data retrieval process? Based on the theory and method of user relevance research, this study explores the cognitive characteristics of user scientific data query and retrieval. The semi-structured interview method used to collect relevant data, and the content analysis method used to encode and analyze the cognitive process of users' scientific data query and retrieval. The results show that (1) users scientific data relevance judgment not only depend on topicality, but also use accessibility, quality, authority and usefulness. (2) There are 7 combination patterns for the use of user's scientific data relevance criteria, and (3) different patterns correspond to different user relevance types and different user information need states. These 7 criteria usage patterns reveal the cognitive enhancement of user scientific data relevance judgment. The research results have a great inspiration for the development of interactive scientific data retrieval system based on user cognitive enhancement characteristics.
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- The Cognitive Enhancement Process of Scientific Data Retrieval
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Association for Computing Machinery
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Publication History
Published: 22 October 2019
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- Refereed limited
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- Agricultural Science, Technology Innovation Project of Chinese Academy of Agricultural Sciences
- National High-tech R&D Program of China
- Social science fund- Scientific Data User Relevance Criteria and Use Model Empirical Study
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CSAE 2019
CSAE 2019: The 3rd International Conference on Computer Science and Application Engineering
October 22 - 24, 2019
Sanya, China
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