Strategic Approaches to Optimizing National Advanced Platforms for S&T Information and Communication in the Eraof Generative AI

Abstract

Abstract:

With the rapid advancement of Generative AI GenAI this study investigates the emergingchallenges confronting the development of national advanced platforms for S&T information andcommunication in China. The analysis reveals that existing platforms have not sufficiently addressed thetransformative impact of GenAI on the research paradigms particularly with regard to strategicorientation functional architecture service frameworks and ethical governance. The paper aims toconceptualize a new academic ecological support system and advocates for a repositioning ofplatforms—from information aggregation tools to intelligent hubs for collaborative knowledge productionthroughout the entire human-AI co-creation research cycle. Through a structural analysis approach thestudy delineates a four-dimensional pathway for platform upgrading conceptual reconfigurationfunctional reconstruction institutional embedding and ecosystem coordination. Based on thisframework it proposes integrated strategies across three levels—strategic theoretical and operational.The findings underscore that embedding GenAI-driven research processes within institutional structures isessential for transforming these platforms into core national knowledge infrastructures.

Key words:

Generative AI New academic ecological support system National advanced platforms forS&, T information and communication National knowledge infrastructure

Chen Chao Zhu Biheng （Shanghai Library）. Strategic Approaches to Optimizing National Advanced Platforms for S&T Information and Communication in the Eraof Generative AI[J]. Libraly Journal, 2025, 44(414): 4-12.

References

[ 1 ] 曾建勋. 国家科研论文和科技信息高端交流平台构建研究[J]. 中国图书馆学报, 2024, 50(1): 66 78.

[ 2 ] 林鑫,杜莹. “高端交流平台”内涵、构建思路与关键问题———国家科研论文和科技信息高端交流平台构建研究项目论证会综述[J]. 信息资源管理学报,2024, 14(1):146 152.

[ 3 ] 毛进, 周凡倩, 王卓昊. AI for Science 推动科研范式革新:创新知识服务视角下的“平台科研”范式[J]. 情报学报,2025, 44(2):132 142.

[ 4 ] 黄金霞,王昉,姜恩波,等. 融入开放科学生态的高端交流平台建设[J]. 数字图书馆论坛,2021(12):9 14.

[ 5 ] 高国伟, 贺帆. 知识服务创新视角下国家科技高端交流平台发展路径研究[J]. 中国科技期刊研究,2023, 34(4):422 431.

[ 6 ] 曾建勋. 国家公益性学术文献服务平台建设思考[J]. 中国图书馆学报,2025, 51(1):19 33.

[ 7 ] 陈超. “高端交流平台” 刍议[J]. 竞争情报, 2021, 17(4):1.

[ 8 ] 郭亚军,梁艳丽,徐苑茜,等. 大语言模型驱动下的人智共生知识螺旋新范式: 以DeepSeek 为例[J / OL]. 情报理论与实践[2025-06-03] https / /link. cnki. net / urlid / 11. 1762. g3. 20250530.1110. 004.

[ 9 ] 张琳,陈国梁. 从结果量化到过程赋能:AI 技术驱动下科研评价的范式转型与实践路径[ J /OL]. 智库理论与实践: 1 4 [ 2025-06-03 ].http / / kns. cnki. net / kcms / detail / 10. 1413. N.20250520. 1114. 002. html.

[10] 李国杰. 智能化科研(AI4R):第五科研范式[J].中国科学院院刊,2024, 39(1):1 9.

[11] Scardamalia M Bereiter C. Knowledge building technology C / / Sawyer R K. The CambridgeHandbook of the Learning Sciences. New YorkCambridge University Press 2014 397 417.

[12] Gillespie T. Platforms are not intermediaries J .Georgetown Law Technology Review 2018 2 2198 216.

[13] Bender E M Gebru T McMillan-Major A et al.On the dangers of stochastic parrots Can languagemodels be too big C / / Proceedings of the 2021ACM Conference on Fairness Accountability andTransparency FAccT?? 21 . New York ACM2021 610 623.

[14] Floridi L Cowls J. A unified framework of fiveprinciples for AI in society J . Harvard DataScience Review 2019 1 1 .

[15] 习近平. 加强基础研究实现高水平科技自立自强[J / OL]. 求是,2023(15)[2025-05-12]. http / /www. qstheory. cn / dukan / qs / 2023-07 / 31 / c_1129776375. htm.

[16] 国家科研论文和科技信息高端交流平台全面上线试运行[EB / OL]. [2025-01-22]. https / / mp.weixin. qq. com / s / SHme6mpERw-DaUmy71g _yw scene =25#wechat_redirect.

[17] 灵析万方学术分析云[EB / OL]. [2025-08-12].https / / fx. wanfangdata. com. cn / .

[18] 国家学术搜索平台[EB / OL]. [2025-08-12].https / / search. napstic. cn / .

[19] 中国科技论文统计与分析网[EB / OL]. [2025-08-12]. http / / www. cstpcd. org.

[20] 中国科学院科技论文预发布平台(ChinaXiv)[EB / OL]. [2025-08-12]. https / / chinaxiv. org /home. htm.

[21] 陈超. 再议“高端交流平台” [J]. 竞争情报, 2021, 17(5):1.

[22] Pu Z Shi C L Jeon C O et al. ChatGPT andgenerative AI are revolutionizing the scientificcommunity A Janus-faced conundrum J . iMeta2024 3 2 e178.

[23] 李伦,刘梦迪. 人工智能驱动的科学研究范式革命:态势与未来[J]. 探索与争鸣,2024(10):143151; 180.

[24] 汪寿阳, 刘梦. 以人工智能引领科研范式变革[N].人民日报, 2025-05-23(9).

[25] 隆云滔,刘海波,许哲平,等. 关于构建我国人工智能开源创新生态体系的建议[J]. 中国科学院院刊,2025, 40(3):453 458.

[26] Zhong H X. Implementation of the EU AI act callsfor interdisciplinary governance J . AI Magazine2024 45 3 333 337.

[27] 曾毅. 北京前瞻人工智能安全与治理研究院正式成立:安全与治理引领人工智能稳健发展[EB /OL]. [2025-06-06]. https / / www. guancha. cn /zengyi2 / 2025_05_09_775132. shtml.

[28] 郝艳妮,李东,韩陆超,等. 面向数据中台的全周期数据安全管理研究与初步实践———以国家自然科学基金数据管理为例[J]. 中国科学基金, 2024, 38(4):696 702.

[29] 陈超. 谁来建设? 谁来服务? ———三议“高端交流平台”[J]. 竞争情报,2021, 17(6):1.

[30] 卫少梅. 俄罗斯数字资源长期保存的实践探索研究[J]. 竞争情报,2025, 21(2): 59 66.