Data and Information Management

The Article Publishing Charge (APC) will be covered by Wuhan University.



Data and Information Management publishes original research that focuses on data analytics and application in the fields of library and information science, and information management. It aims to improve the innovation and development of technology, process and solution.

DIM is an interdisciplinary peer-reviewed journal concerning business information, academic information, government and public information management, knowledge discovery and organization, semantic analysis, digital humanities and so on. This journal serves the interests of scholars and researchers in sharing and disseminating their research by providing an effective forum for the timely dissemination. It is featured in information behavior and interaction.

Specific topic areas may include but not limited to:

Innovative theories and technologies in data-driven information analytics, including knowledge discovery and organization, cloud computing, machine learning, information visualization, and human-computer interaction

Information organization and retrieval, and information search behaviors in data intensive environments such as social media

Open data, information sharing, and information services

Novel methods, algorithms, and processes of conducting data/text/Web mining

Scalable semantic annotation and reasoning across distributed data repositories

Digital humanities, and academic/scientific data analytics and evaluation

Data curation, information privacy, and information security systems and networks

Novel and impactful applications or case studies in big data and analytics for better managerial decision making in public and private sectors