Research on APC Monitoring and Abnormal Warning Model of Global OA Sci-Tech Journals

Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

Rui Xiao Zhao Zhanyi Wang Fang Chen Xuefei Huang Jinxia

Abstract： [Purpose/significance] Grasping the development and abnormal situation of global OA Sci-Tech journals' APC in time is helpful to avoid the loss of domestic research funding, assist decision-making, and provide a reference for China to determine the development path for open access and open science.[Method/process] This paper used the least square method to fit the functional relationship between the APC unit price and influence index of OA journals, and set a 95% confidence interval to identify premium journals and non-premium journals. Based on this principle, a global OA Sci-Tech journals' APC monitoring and anomaly early warning model was established.[Result/conclusion] The model includes automatic acquisition, monitoring analysis, and anomaly early warning modules. Take OA journals data published by an institute of physics in the Chinese Academy of Sciences as an example, it was found that premium journals accounted for 43.5%, and 4.46% of abnormal APCs required early warning. However, 90% of the papers were published in non-premium journals with high cost performance, and non-premium journals were not in the Beall's List, premium journal classification conforms to the inclusion of GoOA and DOAJ,which verified the validity and reliability of the model.

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