Retraction is a correction to scientific literature when there is a major flaw, fraud or misuse of ethical practices in the published work. With the increasing growth of research output, number of retracted studies has also increased, which raises concerns about the issue of research ethics and transparency. Moreover, retraction data coming from several platforms or databases limits its scope in tracking the time-to-time retraction trends. To address this, we propose a web-based integrated platform, called RetraLytix, for easy analysis of distributed retraction data. It automatically integrates retraction data from major databases like Crossref, Retraction Watch and Open Alex and visualizes data in a user interactive centralized platform. It offers a real-time dashboard, comparative analysis, and benchmarking of entities such as countries, institutions, authors, journals and main research areas. RetraLytix helps users to detect trends, retraction patterns, and assess research environment to make data-driven decisions. The system has a potential to become a research integrity tracking and governance tool for researchers, administrators and policymakers.

翻译：撤稿是对存在重大缺陷、学术不端或违反伦理规范的已出版科学文献的修正。随着研究成果的持续增长，被撤稿的研究数量也随之增加，这引发了学界对科研伦理与透明度的担忧。此外，来自不同平台或数据库的撤稿数据限制了跟踪阶段性撤稿趋势的能力。为解决这一问题，我们提出一个名为RetraLytix的基于网络的集成平台，用于便捷分析分布式撤稿数据。该系统能够自动整合来自Crossref、Retraction Watch和OpenAlex等主要数据库的撤稿数据，并在用户交互式中央平台上实现数据可视化。该平台提供实时仪表板、比较分析功能，以及对国家、机构、作者、期刊及主要研究领域等实体的基准评估。RetraLytix帮助用户检测趋势、识别撤稿模式并评估科研环境，从而做出数据驱动的决策。该系统有望成为面向研究人员、行政人员及政策制定者的科研诚信追踪与治理工具。