Core Viewpoint - The article discusses the launch of a new global scientific literature data platform, dbdata.com, created by Chinese institutions, aimed at providing high-quality research support and reducing reliance on Western-dominated databases [2][3]. Group 1: Platform Overview - The dbdata.com platform includes nearly 90 million high-quality scientific literature metadata and incorporates AI functionalities to enhance research efficiency [2]. - The platform's basic features will be available for free to global users, facilitating literature retrieval, citation analysis, and data tracking [2]. Group 2: Issues with Existing Databases - The most widely used scientific literature database globally is Web of Science, which has over 100 million entries but suffers from issues such as manipulation of citation metrics, affecting the objectivity and accuracy of research evaluations [3]. - The existing citation evaluation system has not seen substantial improvements in 70 years, leading to the inclusion of many low-quality papers, which diminishes the academic value of the database [3]. Group 3: Dongbi Index - The platform is based on the Dongbi Index, a new evaluation standard developed by a team of young scientists, which aims to provide a more objective and accurate reflection of journal authority and impact [4]. - The Dongbi Index incorporates a quality grading system and a citation tracing method, moving beyond the traditional reliance on citation counts [4]. Group 4: Classification System - The platform has developed a classification system aligned with the habits of Chinese researchers, using the classification codes from the National Natural Science Foundation and the Ministry of Education, which are not represented in Web of Science [4]. - This classification system helps researchers understand their academic boundaries and provides precise decision-making support for management departments [4]. Group 5: AI Integration - The platform has integrated AI capabilities, including "scholar achievement interpretation" and "automatic review generation," effectively providing users with an "AI assistant" for research inquiries [5]. - Users can interact with the AI to obtain insights into scholars' research directions, characteristics, and contributions [5].

7月2日，在2025全球数字经济大会上，联合国工业发展组织投资和技术促进办公室与东壁科技数据有限 公司联合发布由中国机构自主创建的全球科技文献数据平台dbdata.com。该平台收录了全世界范围内近 9000万条高质量科技文献元数据，并引入AI功能，助力开展高质量科学技术研究，且基础功能将对全 球用户免费开放，为科研人员提供高效的文献检索、引文分析和数据追踪等服务。 人工智能正加速赋能千行百业，研发人员在开发全球科技文献数据平台时，也率先引入了AI大模型的 功能。据悉，平台先期引入了两个AI功能，分别是"学者成果解读"和"综述自动生成"功能。利用大模型 的能力，平台相当于给每个用户都配备了"AI助手"，用户可以用通俗的语言向这个助手询问每一个学者 的研究方向、研究特色、突出贡献，甚至是不同学者之间的对比。 来源：北京日报客户端 记者：孙奇茹 如遇作品内容、版权等问题，请在相关文章刊发之日起30日内与本网联系。版权侵权联系电话：010-85202353 "科学技术研究的全过程，包括问题提出、背景调研、实验设计、数据收集与分析、结果验证、成果推 广等各个环节都离不开科技文献数据平台的支撑。但长期以来，全世界科技工 ...

Core Insights - The article discusses the release of the 2024 Journal Citation Reports (JCR) by Clarivate Analytics, highlighting the impact factors of various journals in the food science sector [2][3]. Summary by Sections Journal Impact Factors - The top journals in the food science field include: - Nature Food with an impact factor of 21.9, ranking 1st among 181 journals [4]. - Trends in Food Science and Technology with an impact factor of 15.4, ranking 2nd [4]. - Comprehensive Reviews in Food Science and Food Safety with an impact factor of 14.1, ranking 3rd [4]. - Food Hydrocolloids with an impact factor of 12.4, ranking 4th [4]. - Food Packaging and Shelf Life with an impact factor of 10.6, ranking 6th [4]. - Food Chemistry with an impact factor of 9.8, ranking 7th [4]. Additional Insights - The report includes a comprehensive list of 181 food science and technology journals, detailing their total citations, 5-year impact factors, and other relevant metrics [3][4].