摘要：

目的 深入探讨中国科协“学术科协”平台（CASTScholar）建设思路，为我国科技期刊深度数字化转型与集群化发展提供参考。 方法 以中国科协“学术科协”平台为案例，系统解析平台建设思路，总结建设成效，分析现实挑战，并提出未来发展方向。 结果 基于“智慧科协2.1”技术框架，“学术科协”立足“一集群、两平台、三服务”总体布局，建设了中国科协科技期刊集群（“一集群”），科技期刊数字出版服务平台、智能数据服务平台（“两平台”），正在推进科技评价、创新成果传播推广、学术诚信服务建设（“三服务”）。当前平台发展面临多重现实挑战，未来需以知识创新服务为导向，推动人工智能与出版全流程深度融合，打造自主可控的开放科学服务生态，研制卓越学术创新评价体系，构建全流程诚信服务体系。 结论 中国科协“学术科协”平台作为自主可控学术基础设施，既为我国科技期刊数字化深度转型与集群化发展提供借鉴参考，也为服务高水平科技自立自强奠定基础。

关键词: “学术科协”平台, 科技期刊集群, 数字出版服务平台, 智能数据服务平台

Abstract:

Purposes This paper deeply explores “CASTScholar” of the China Association for Science and Technology （CAST） construction practice and development ideas， so as to provide references for the in-depth digital transformation and cluster development of China’s scientific and technological journals. Methods Taking the “Academic Science and Technology Association” platform （CASTScholar） of the CAST as a case study， it systematically analyzes the platform’s design concept， summarizes its achievements， examines practical challenges， and proposes future development directions. Findings Built upon the “Smart CAST 2.1” technical framework， the CASTScholar platform follows the overall layout of “One Cluster， Two Platforms， and Three Services.” It has established the CAST scientific journal cluster （“One Cluster”）， the digital publishing service platform for scientific journals and the intelligent data service platform （“Two Platforms”）， and is advancing the development of services for scientific evaluation， dissemination and promotion of innovative achievements， and academic integrity （“Three Services”）. The platform currently faces multiple practical challenges. In the future， it should pursue knowledge innovation services， promote deep integration of artificial intelligence into the entire publishing process， build an independent and controllable open science service ecosystem， develop an excellence-oriented academic innovation evaluation system， and establish a full-process integrity service system. Conclusions As an autonomous and controllable academic infrastructure， the “CASTScholar” platform of the CAST not only provides a reference for the in-depth digital transformation and cluster development of China's scientific journals， but also lays the groundwork for serving a high level of scientific and technological self-reliance and strength.

Key words: “CASTScholar” platform, Scientific journal cluster, Digital publishing service platform, Intelligent data service platform