RESEARCH PAPERS

An Entity-Relationship Conceptual Model of Innovation Elements for Scientific Experiment Processes and Its Application

  • Lin Qiao ,
  • Ding Nanling ,
  • Xian Guojian ,
  • Wu Yu ,
  • Sun Tan ,
  • Zhang Xuefu
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  • 1 Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081;
    2 Chinese Academy of Agricultural Sciences, Beijing 100081;
    3 Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Beijing 100081
Lin Qiao, Associate Researcher, PhD; Ding Nanling, Research Assistant, Master's Degree; Xian Guojian, Researcher, PhD, Doctoral Supervisor; Wu Yu, Doctoral Candidate; Sun Tan, Researcher, PhD, Doctoral Supervisor; Zhang Xuefu, Researcher, PhD, Doctoral Supervisor, Corresponding Author, E-mail:zhangxuefu@caas.cn.

Received date: 2025-04-28

  Revised date: 2025-08-15

  Online published: 2026-06-23

Supported by

This work is supported by the National Social Science Fund of China project titled “Research on the Identification Method of Fusion Innovation Paths in Frontier Interdisciplinary Fields” (Grant No. 23BTQ054).

Abstract

[Purpose/Significance] Scientific experiments are the core process of scientific research and innovation. To identify and model their key elements and relationships will help reveal the inherent laws of research innovation activities. This study proposes an entity-relationship conceptual model of innovation elements for scientific experiment processes, which is conducive to structuring the expression of scientific research knowledge and identifying the innovation paths. [Method/Process] First, this study analyzed the formation mechanism of scientific-data-driven technological innovation and deconstructed the types and implementation processes of scientific experiments. It clarified the scientific data elements and technological innovation elements involved in scientific experiments, and constructed a conceptual model comprising 5 types of element entities and 8 types of entity relationships by using a quintuple structure to express. Then, a specific entities and semantic relationship system was constructed by taking rice breeding as an example, combined with domain database rules and expert knowledge. Therefore, a domain innovation path model based on scientific experimental events was formed to demonstrate the practical application of the model. [Result/Conclusion] This model can characterize the key elements and relationships in the scientific research process in a fine-grained manner. The innovation path based on this model can reveal the innovation process and laws driven by single-type as well as multi-type innovation factors, laying a foundation for the discovery of innovation opportunities from scientific research processes.

Cite this article

Lin Qiao , Ding Nanling , Xian Guojian , Wu Yu , Sun Tan , Zhang Xuefu . An Entity-Relationship Conceptual Model of Innovation Elements for Scientific Experiment Processes and Its Application[J]. Library and Information Service, 2026 , 70(13) : 31 -42 . DOI: 10.13266/j.issn.0252-3116.2026.13.003

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