一种基于学科差异的ESI学科潜力值校准方法  

A Calibration Method of Institutions’ESI Discipline Potential Value Based on Discipline Differences

作　　者：李婷婷[1] 魏园婷 LI Tingting;WEI Yuanting(Xi’an University of Technology Library,Xi’an 710048,China)

机构地区：[1]西安理工大学图书馆,西安710048

出　　处：《文献与数据学报》2020年第2期110-117,共8页Journal of Library and Data

基　　金：2018年度陕西省教育厅人文社会科学专项基金“双一流背景下高校学科论文产出分析支持学科发展决策研究”(项目编号:18JK0529);西安理工大学科研基金“西安理工大学ESI高被引论文检索分析研究”(项目编号:602-451418003)成果之一。

摘　　要：[目的/意义]“双一流”高校建设方案与实施办法颁布以及第四轮学科评估将ESI指标纳入评估体系后,多数高校图书馆都开展了基于WoS平台、ESI和InCites数据库的学科数据分析评价工作。在实际工作中因为数据库间的数据不同步问题导致分析结果存在一定误差,影响学科分析结果的参考价值。[方法/过程]应用Kruskal-Wallis H检验ESI数据库22个学科间机构ESI/InCites被引频次比值数据,验证了ESI学科之间的差异,参考ESI学科差异计算相应学科的潜力值校准系数,设计学科潜力值校准方法。[结论/结果]数据分析与实例验证结果表明,本方法能够帮助决策层更加直观、准确地衡量机构尚未进入ESI前1%的学科与ESI阈值的相对位置,对于了解机构学科现状、合理调整学科政策等具有实际应用价值。[Purpose/significance]After the“Double First-Class”university construction plan were promulgated,and the Fourth Discipline Assessment brought ESI index into system,most of university libraries have carried out discipline data analysis and evaluation based on WoS,ESI and InCites database.The data synchronization problems between databases will lead analysis results errors,which could affects the results’reference value.[Method/process]This article uses Kruskal Wallis H to test the institutions’ESI/InCites citation ratio data of ESI 22 discipline categories to verify the academic discipline differences,calculates calibration coeffi cients,and designes the calibration method of discipline potential values.[Result/conclusion]Through data analysis and case verifi cation,it can be seen that this method could help decisionmakers measure the relative position between institution and ESI threshold intuitively and accurately,and have practical value for fi nding out current institution situation and adjusting policies reasonably.

关 键 词：ESI 学科差异 学科潜力值 校准 

分 类 号：G353.1[文化科学—情报学]