About the Journal
Journal of Data Efficiency publishes research and methodological studies on data requirements, sample efficiency and economical research designs. The journal welcomes contributions spanning computing, quantitative science and applied research.
Aims and scope
The journal focuses on data requirements, sample efficiency and economical research designs. Contributions should state their research question, identify the evidence analyzed and explain the limits of their conclusions.
Article types
Research articles, methodological studies, evidence audits and exploratory analyses. Manuscript-specific qualifications and status notes are retained with each article.
Established: 2026. ISSN: Pending.
Editor-in-Chief
Paul Lewis