The Journal of Data and Information Science (JDIS, formerly Chinese Journal of Library and Information Science), being sponsored by the Chinese Academy of Sciences (CAS) and published quarterly by the National Science Library of CAS, is the first internationally published English-language academic journal in library and information Science and related fields from China.
JDIS devotes itself to the study and application of the theories, methods, techniques, services, infrastructural facilities using big data to support knowledge discovery for decision & policy making. The basic emphasis is big data-based, analytics centered, knowledge discovery driven, and decision making supporting. The special effort is on the knowledge discovery to detect and predict structures, trends, behaviors, relations, evolutions and disruptions in research, innovation, business, politics, security, media and communications, and social development, where the big data may include metadata or full content data, text or non-textural data, structured or non-structural data, domain specific or cross-domain data, dynamic or interactive data.
The main areas of interest are:
(1) New theories, methods, and techniques of big data based data mining, knowledge discovery, and informatics, including but not limited to scientometrics, communication analysis, social network analysis, tech & industry analysis, competitive intelligence, knowledge mapping, evidence based policy analysis, predictive analysis.
(2) New methods, architectures, and facilities to develop or improve knowledge infrastructure capable to support knowledge organization and sophisticated analytics, including but not limited to ontology construction, knowledge organization, semantic linked data, knowledge integration and fusion, semantic retrieval, domain specific knowledge infrastructure, semantic sciences.
(3) New mechanisms, methods, and tools to embed knowledge analytics and knowledge discovery into actual operation, service, or managerial processes, including but not limited to knowledge assisted scientific discovery, data mining driven intelligent workflows in learning, communications, or management.
Specific topic areas may include:
l Knowledge organization
l Knowledge discovery and data mining
l Knowledge integration and fusion
l Semantic Web metrics
l Analytic and diagnostic informetrics
l Competitive intelligence
l Predictive analysis
l Social network analysis and metrics
l Semantic and interactively analytic retrieval
l Evidence-based policy analysis
l Intelligent knowledge production
l Knowledge-driven workflow management and decision-making
l Knowledge-driven collaboration and its management
l Domain knowledge infrastructure with knowledge fusion and analytics
l Training for data & information scientists
l Development of data and information services
JDIS publishes theoretical and empirical work. Systematic reviews are welcome and applied research in development of advanced methods, services, and best practices is also an important part. But simple application of established informetrics on a specific research field or country is out of the scope.
Welcome to submit your papers to JDIS.