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文献信息
Data and Information Management (DIM) is an interdisciplinary, double-blind peer-reviewed journal that publishes high-quality original research papers in the field of data and information management. It aims to advance theoretical and/or methodological development related to data and information across various domains, including but not limited to business, academia, government, health, education, finance, marketing, and the Internet. DIM encourages and prioritizes submissions from a wide range of disciplines, such as library and information science, information systems, computer science, management, communication, and other related fields. The primary mission of DIM is to drive effective management of diverse data and information through cutting-edge research, ultimately fostering social development and enhancing human well-being.
Social MediaInformation ScienceArtificial IntelligenceOpen DataData ScienceCitation AnalysisTechnology AdoptionSystematic Literature ReviewMachine LearningWeb of ScienceInformation ManagementDigital LibraryNatural Language ProcessingElectronic Theses and DissertationsLibrary and Information ScienceOpen Government DataKnowledge Management PerspectiveComputer InteractionLatent Dirichlet AllocationSystematic Review
vol.10 (2026)
vol.9 (2025)
vol.8 (2024)
vol.7 (2023)
vol.6 (2022)
vol.5 (2021)
vol.4 (2020)
vol.3 (2019)
vol.2 (2018)
vol.1 (2017)