|
|
Opinions on the Development of China's Scientific and Technological Information in the New Era |
Chen Yunwei1,2 |
1.National Science Library (Chengdu), Chinese Academy of Sciences, Chengdu 610299 2.Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190 |
|
|
Abstract After more than 60 years of development, China's scientific and technological (S&T) information career has entered a period of transformation and innovation. In the context of the dramatic changes in world S&T trends and competitive landscape, the rapid progress of digital science should be accompanied by China's S&T self-reliance and self-improvement development strategy, China's S&T information has ushered in a new era of higher development needs. Therefore, China needs to grasp this new opportunity of paradigm change in S&T information driven by digital technology, and conduct in-depth S&T information analysis in line with the strategic needs of national strategies. First, the theory, method, and data foundation of S&T information research should be consolidated. Second, the future development of S&T-oriented strategic policy research should be mapped. Third, research should be performed on reform programs and management systems of S&T institutions and mechanisms. Fourth, big data analysis in science should be explored to reveal problems and patterns. Fifth, S&T evaluation studies that revolve around proposing feasible solutions should be initiated. Building a new era of S&T information talent team with a strong S&T cause is essential for the synergy of “Strategy - Theory - Methods - Data - Tools - Analysis” through integration. Forming an efficient and collaborative S&T information talent team of reasonable size is required. The ultimate realization of China's S&T information career is through a high-quality development path and service S&T, in building a strong country.
|
Received: 13 May 2022
|
|
|
|
1 王琳, 赖茂生. 中国科技情报事业回顾与展望: 基于情报学理论的视角[J]. 中国图书馆学报, 2021, 47(4): 28-47. 2 陈云伟, 曹玲静, 张志强. 新冠肺炎疫情大流行对国际科技发展的影响及其启示[J]. 中国科学院院刊, 2021, 36(11): 1348-1358. 3 陈云伟, 曹玲静, 陶诚, 等. 科技强国面向未来的科技战略布局特点分析[J]. 世界科技研究与发展, 2020, 42(1): 5-37. 4 The White House. Fact sheet: the bipartisan infrastructure deal[EB/OL]. (2021-11-06). https://www.whitehouse.gov/briefing-room/statements-releases/2021/11/06/fact-sheet-the-bipartisan-infrastructure-deal/. 5 European Commission. Commission welcomes approval of 10 European Partnerships to accelerate the green and digital transition[EB/OL]. (2021-11-19). https://ec.europa.eu/info/news/commission-welcomes-approval-10-european-partnerships-accelerate-green-and-digital-transition-2021-nov-19_en. 6 UK science and technology framework[EB/OL]. (2023-03-06). https://www.gov.uk/government/publications/uk-science-and-technology-framework. 7 习近平. 在中国科学院第二十次院士大会、中国工程院第十五次院士大会、中国科协第十次全国代表大会上的讲话[EB/OL]. (2021-05-28). http://qh.people.com.cn/n2/2021/0529/c182753-34750754.html. 8 Science. 2022 breakthrough of the year[EB/OL]. (2022-12-15). https://www.science.org/content/article/breakthrough-2022#. 9 WIPO. Global innovation index 2021: tracking innovation through the COVID-19 crisis[M/OL]. 14th edition. Geneva: World Intellectual Property Organization, 2021. [2021-11-05]. https://www.wipo.int/edocs/pubdocs/en/wipo_pub_gii_2021.pdf. 10 陈云伟. 洞见科技发展与竞争态势 服务科技创新高质量发展[J]. 世界科技研究与发展, 2022, 44(1): 1-7. 11 WIPO. Patent Cooperation Treaty yearly review 2021: the international patent system[M/OL]. Geneva: World Intellectual Property Organization, 2021. [2022-03-16]. https://www.wipo.int/edocs/pubdocs/en/wipo_pub_901_2021.pdf. 12 OECD. Triadic patent families[EB/OL]. [2022-03-16]. https://data.oecd.org/rd/triadic-patent-families.htm. 13 The Nobel Prize. Nobel Prize facts[EB/OL]. [2022-02-11]. https://www.nobelprize.org/prizes/facts/nobel-prize-facts/. 14 习近平. 深入实施新时代人才强国战略 加快建设世界重要人才中心和创新高地[EB/OL]. (2021-09-29). http://politics.people.com.cn/n1/2021/0929/c1024-32240952.html. 15 新华社. 习近平: 加快建设世界一流企业 加强基础学科人才培养[EB/OL]. (2022-02-28). https://politics.gmw.cn/2022-02/28/content_35553334.htm. 16 苏新宁. 中国特色情报学学科体系、学术体系、话语体系论纲[J]. 中国图书馆学报, 2021, 47(4): 16-27. 17 赵志耘. “十四五” 科技情报创新的思考[J]. 信息资源管理学报, 2021, 11(6): 4-9. 18 朝乐门, 张晨, 孙智中. 数据科学进展: 核心理论与典型实践[J]. 中国图书馆学报, 2022, 48(1): 77-93. 19 安璐, 陈苗苗, 沈燕, 等. 中国特色情报学的基本范畴与核心命题[J]. 中国图书馆学报, 2021, 47(6): 18-35. 20 赵凡, 冷伏海. 科技情报研究与服务的发展现状与趋势[J]. 数字图书馆论坛, 2006(10): 52-60, 71, 78. 21 赵志耘, 曾文, 王忠军, 等. 需求导向的中国科技情报研究方法探索与思考[J]. 情报学报, 2022, 41(1): 1-9. 22 陈云伟, 曹玲静. 科学学大数据研究的机遇与挑战[J]. 信息资源管理学报, 2020, 10(3): 11-17, 69. 23 潘教峰. 智库研究的双螺旋结构[J]. 中国科学院院刊, 2020, 35(7): 907-916. 24 陶诚, 张志强, 陈云伟. 关于我国建设基础科学研究强国的若干思考[J]. 世界科技研究与发展, 2019, 41(1): 1-15. 25 冷伏海, 李宏, 王建芳, 等. 面向2030年的人与科技发展愿景研究[J]. 中国科学院院刊, 2021, 36(2): 199-207. 26 Liu X W, Wang X Z, Lyu L C, et al. Identifying disruptive technologies by integrating multi-source data[J]. Scientometrics, 2022, 127(9): 5325-5351. 27 白如江, 刘博文, 冷伏海. 基于多维指标的未来新兴科学研究前沿识别研究[J]. 情报学报, 2020, 39(7): 747-760. 28 2021研究前沿发布暨研讨会在中国科学院举行[EB/OL]. (2021-12-08) [2022-04-11]. http://www.casisd.cn/ttxw1/zlyjytt/202112/t20211208_6290757.html. 29 吴月辉. 科技体制改革激发创新潜力[N]. 人民日报, 2022-03-24(1). 30 Wu L F, Wang D S, Evans J A. Large teams develop and small teams disrupt science and technology[J]. Nature, 2019, 566(7743): 378-382. 31 Boyack K W, Klavans R, B?rner K. Mapping the backbone of science[J]. Scientometrics, 2005, 64(3): 351-374. 32 卫军朝, 蔚海燕. 科学结构及演化分析方法研究综述[J]. 图书与情报, 2011(4): 48-52. 33 Ahlgren P, Chen Y W, Colliander C, et al. Enhancing direct citations: a comparison of relatedness measures for community detection in a large set of PubMed publications[J]. Quantitative Science Studies, 2020, 1(2): 714-729. 34 蒋璐, 陈云伟. 多节点多关系的混合网络社团划分研究综述[J]. 图书情报工作, 2021, 65(19): 142-150. 35 张瑞红, 陈云伟, 邓勇. 用于科学结构分析的混合网络社团划分方法述评[J]. 图书情报工作, 2019, 63(4): 135-141. 36 Jones B F, Weinberg B A. Age dynamics in scientific creativity[J]. Proceedings of the National Academy of Sciences of the United States of America, 2011, 108(47): 18910-18914. 37 Zhou Y, Dong F, Liu Y F, et al. Forecasting emerging technologies using data augmentation and deep learning[J]. Scientometrics, 2020, 123(1): 1-29. 38 陈云伟, 张志强. 科技评价走出“破”与“立”困局的思考与建议[J]. 情报学报, 2020, 39(8): 796-805. 39 陈云伟. 科技评价计量方法述评[J]. 农业图书情报学报, 2020, 32(8): 4-11. 40 Moed H F. Appropriate use of metrics in research assessment of autonomous academic institutions[J]. Scholarly Assessment Reports, 2020, 2(1): 1. 41 杜宁宁, 李瑛. 科技项目立项评估机制优化研究[J]. 科研管理, 2016, 37(S1): 1-5. 42 Liu Q, Gulín-González J, Chen Y W. A citation iteration method for publications and scientists evaluation[J]. Data Science and Informetrics, 2021, 1(2): 100-109. 43 陈超. 科技情报要服务国家战略人才力量建设[J]. 竞争情报, 2022, 18(1): 1. 44 马费成, 李志元. 新文科背景下我国图书情报学科的发展前景[J]. 中国图书馆学报, 2020, 46(6): 4-15. 45 王忠军, 苏鹏. 回鉴与预见: 科技情报事业的坚守与任务——第57次情报科学读书会暨读书会10周年纪念交流札记[J]. 情报理论与实践, 2021, 44(10): 211, 26. 46 邱均平, 张裕晨, 周子番. 新时代我国科研评价体系重构中必须处理好八大关系[J]. 中国图书馆学报, 2021, 47(1): 47-60. |
|
|
|