什么？9000万条高质量科技文献数据免费开放，还能AI解读！

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].