| 张 瑞 杨代庆.面向“小同行”评议的专家画像方法研究[J].中国科技资源导刊,2023,(2):94~103 |
| 面向“小同行”评议的专家画像方法研究 |
| Study on the Method of Experts Profile for Accurate Peer Review |
| 投稿时间：2022-08-22 |
| DOI： |
| 中文关键词: 同行评议；专家画像；“小同行”；专家遴选；专家特征 |
| 英文关键词: peer review, expert portrait, accurate peer reviewer, expert selection, expert characteristics |
| 基金项目:国家社会科学基金项目“多源异构数据融合的图书馆用户画像研究”（18BTQ031） |
| 作者 | 单位 | | 张 瑞 杨代庆 | （中国科学技术信息研究所，北京 100038） |
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| 中文摘要: |
| 同行评议专家的遴选是同行评议中最为关键的要素，但实际评审过程既要考虑专家库的限制、评审对象的需求，又要考虑专家信息标记粒度和准确性的限制，因此准确遴选出同行专家是当前同行评议面临的重要问题。利用专家画像技术，从专家特征、同行特征两方面设计“小同行”专家特征属性框架，提出面向多领域的通用“小同行”专家标签体系的构建方法，为提升同行评议专家遴选的准确性提供参考与借鉴。 |
| 英文摘要: |
| The selection of peer experts is the most critical element in peer review, but the actual review process should consider the limitations of the expert database, the needs of the review object, and be limited by the granularity and accuracy of expert information marking, and how to accurately select peer experts has become a major problem. In order to solve this problem, this paper uses the expert portrait technology to design the “accurate peer” expert feature attribute framework from the aspects of expert characteristics and peer characteristics, and proposes a construction method of the general “accurate peer” ex-pert label system that can be oriented to multiple fields, so as to provide reference and reference for improving the accuracy of peer review expert selection. |
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