Journal of Data and Information Science

Aims & Scope

The Journal of Data and Information Science offers a platform for scientists across diverse fields to enhance the quantitative understanding of research activities through data-driven insights. It examines the internal mechanisms of research and its interplay with various social factors. The journal addresses universal issues that span diverse countries/regions and disciplines, including funding strategies, international collaboration models, career paths for scientists, trends in talent mobility, the evolution of disciplines, academic communication, research evaluation systems, technology transfer, the construction of research integrity, and the interactions between the scientific community and other societal systems. We encourage submissions from researchers across all domains to enrich this dialogue. In particular, JDIS puts special emphasis on research articles that aim to design, test, verify, or compare new theories, methods, or tools, in analysis of research profiles or developments. It requires that submitted manuscripts go far beyond merely statistically scientometric analysis using established methods and tools. Please note that, with the exception of topics in information science, JDIS does not consider for publication case studies that rely solely on bibliometric methods to provide descriptive overviews of subject field development.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification