The Journal of Biomedical Physics and Engineering (JBPE) is pleased to announce the introduction of a new article type: Data Descriptor.
In today’s data-driven scientific landscape, high-quality datasets are fundamental to advancing research, strengthening reproducibility, and accelerating scientific discovery. Nevertheless, many valuable datasets remain underutilized due to insufficient documentation, limited accessibility, or lack of formal academic recognition.
Data Descriptors are peer-reviewed publications designed to provide a comprehensive and structured description of research datasets. Unlike traditional research articles that focus on hypothesis testing and novel findings, Data Descriptors emphasize:
- Detailed documentation of dataset content and scope
- Transparent description of data collection and processing methods
- Structured, machine-readable metadata
- Persistent repository links with clear licensing terms
- Evidence of technical validation
This structured framework supports the principles of making research data Findable, Accessible, Interoperable, and Reusable (FAIR).
We invite researchers to submit Data Descriptors describing datasets that can advance research in biomedical physics, biomedical engineering, medical imaging, and related disciplines. JBPE provides a dedicated platform for sharing valuable research resources with the global scientific community.
Detailed submission guidelines are available in the Guide for Authors section of the journal website.
To encourage high-quality dataset submissions and support open science initiatives, JBPE will waive the publication fee for all Data Descriptor articles accepted through December 31, 2026.
Authors are warmly encouraged to take advantage of this opportunity to publish and disseminate valuable datasets.