Subjects: Statistics >> Social Statistics submitted time 2023-12-03 Cooperative journals: 《中国科学院院刊》
WANG Fang
SHEN Jinsheng
WU Hong
HUANG Jinxia
YANG Baolong
RUI Xiao1 GUO Jinjing
LI Yanzhang
ZHAO Zhanyi
CHEN Yufei
LI Shixin
QI Shuo
Abstract： Cultivating more strategic scientists is an important proposition for achieving a high level of self-reliance in science and technology in China. In response to the the central government’s requirements, and to support the “selection, cultivation, and retention” of strategic scientists, this study comprehensively adopts various research methods of the competency model. Based on 155 typical cases of benchmark figures at home and abroad, a quantitative analysis index system of typical characteristics of strategic scientists is constructed, and 720 leading talents from 297 State Key Laboratories are selected as representatives of the reserve force of strategic scientists for empirical analysis of the index system. The study found that compared with the benchmark figures, there are significant gaps in strategic vision and practical ability, a weak force of enterprise strategic scientists, and a mismatch between the disciplinary distribution and the strategic development needs of China among the representatives of China’s reserve force of strategic scientists. Based on this, relevant countermeasures and suggestions are proposed.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
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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