Information systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems.Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. Implementation papers having to do with massively parallel data management, fault tolerance in practice, and special purpose hardware for data-intensive systems are also welcome. Manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, are also welcome. All papers should highlight innovative solutions to data management problems such as new data models, performance enhancements, and show how those innovations contribute to the goals of the application.All papers should motivate the problems they address with compelling examples from real or potential applications. Systems papers must be serious about experimentation either on real systems or simulations based on traces from real systems. Papers from industrial organisations are welcome.Theoretical papers should have a clear motivation from applications. They should either break significant new ground or unify and extend existing algorithms. Such papers should clearly state which ideas have potentially wide applicability.Authors of select accepted Information Systems papers are invited by the EiCs to submit the experiment described in their papers for reproducibility validation. The resulting additional reproducibility paper is co-authored by the reproducibility reviewers and the authors of the original publication.In addition to publishing submitted articles, the Editors-in-Chief will invite retrospective articles that describe significant projects by the principal architects of those projects. Authors of such articles should write in the first person, tracing the social as well as technical history of their projects, describing the evolution of ideas, mistakes made, and reality tests.Technical results should be explained in a uniform notation with the emphasis on clarity and on ideas that may have applications outside of the environment of that research. Particularly complex details may be summarised with reference to previously published papers.We will make every effort to allow authors the right to republish papers appearing in Information Systems in their own books and monographs.

《信息系統》是支持數據密集型應用程序的軟件和硬件系統。《信息系統》雜志發表了有關信息系統語言、數據模型、過程模型、算法、軟件和硬件的設計和實現的文章。主題領域包括主要國際數據庫會議（如ACM SIGMOD/PODS、VLDB、ICDE和ICDT/EDBT）中提出的數據管理問題，以及數據挖掘/機器學習、與結構化數據協調的信息檢索、互聯網和云數據管理、業務流程等領域的數據相關問題。管理、網絡語義學、視聽信息系統、科學計算和數據科學。還歡迎與大規模并行數據管理、實踐中的容錯以及數據密集型系統專用硬件有關的實施文件。也歡迎來自應用領域的手稿，如城市信息學、社會和自然科學以及物聯網。所有的論文都應該重點介紹數據管理問題的創新解決方案，如新的數據模型、性能增強，并說明這些創新如何有助于實現應用程序的目標。所有的論文都應該用真實的或潛在的應用程序中令人信服的例子來激發他們所解決的問題。系統論文必須認真研究真實系統或基于真實系統軌跡的仿真實驗。歡迎來自工業組織的論文。理論論文應該有明確的應用動機。它們應該要么突破重要的新領域，要么統一和擴展現有的算法。這些文件應該清楚地說明哪些思想具有潛在的廣泛適用性。EICS邀請選擇接受的信息系統論文的作者提交其論文中描述的實驗，以進行再現性驗證。由此產生的額外再現性論文由再現性評審員和原始出版物的作者共同撰寫。除了發表提交的文章外，總編輯還將邀請回顧性的文章來描述這些項目的主要架構師的重要項目。這類文章的作者應該以第一人稱寫作，追溯他們項目的社會和技術歷史，描述思想的演變、所犯的錯誤和現實測試。技術成果應以統一的符號進行解釋，重點是清晰性和可能在該研究環境之外應用的觀點。特別復雜的細節可以參考先前發表的論文進行總結。我們將盡一切努力使作者有權在自己的書籍和專著中重新發表出現在信息系統中的論文。