Nothing Special   »   [go: up one dir, main page]

Journal of Data and Information Science's Cover Image
1.5
Impact Factor
3.5
CiteScore
Journal Information
Download Cover

Journal of Data and Information Science (JDIS, formerly Chinese Journal of Library and Information Science), 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.

The Journal of Data and Information Science (JDIS) focuses on data-based research oriented toward the exploration of scientific research and innovation. The main areas of interest are science of science, evidence-based policymaking, research evaluation, computational social science, and scientometrics/bibliometrics/altmetrics/ informetrics. Emphasis is given to research that focuses on data, analytics, and knowledge discovery, and supports decision making and science policy. This includes modeling, innovation, data security, media and communications, and social development. Topics may include studies of metadata or full content data, text or non-textural data, structured or non-structural data, domain-specific or cross-domain data, and dynamic or interactive data.

Specific topic areas may include (but are not limited to):

  • Knowledge organization
  • Knowledge discovery and data mining
  • Knowledge integration and fusion
  • Semantic Web
  • Science of science
  • Bibliometrics and scientometrics
  • Analytic and diagnostic informetrics
  • Competitive intelligence
  • Predictive analysis
  • Social network analysis and metrics
  • Semantic and interactively analytic retrieval
  • Evidence-based policy analysis
  • Intelligent knowledge production
  • Knowledge-driven workflow management and decision-making
  • Knowledge-driven collaboration and its management
  • Domain knowledge infrastructure with knowledge fusion and analytics
  • Training for data & information scientists
  • 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.

Why subscribe and read

JDIS is the first and only English journal from China in Library and Information Science and related fields. With an aim to disseminate the cutting-edge research in these fields, it is devoted to the study and application of the theories, methods, techniques, services, and infrastructural facilities using big data to support knowledge discovery for decision and policy making. The basic emphasis is big data-based, analytics centered, knowledge discovery driven, and decision making supporting. JDIS has gathered a big body of high profile experts across the world who contribute their research to the journal. The international authors account for around 62% in its first publication year (2016).

Why submit

JDIS is the first and only English journal from China in Library and Information Science and related fields. It owns a number of world front-line scholars as editorial board members or reviewers. The turnaround time on average for a manuscript from submission to final decision is less than two and a half months.

Archiving

Sciendo archives the contents of this journal in Portico- digital long-term preservation service of scholarly books, journals and collections.

Plagiarism Policy

The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process.

eISSN:
2543-683X
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining