Biomedical Data Science
This section covers biomedical data science at the intersection of biological research, biotechnology and data analysis. It welcomes experimental, computational and methodological contributions that explain the biological question, document samples or data, and provide validation appropriate to the conclusions. Authors should report quality controls, analytical choices and limitations.
Published by EJSIR Publisher. This section is part of the journal’s defined subject scope and is used to guide author selection and editorial routing.
Section scope
This section covers biomedical data science at the intersection of biological research, biotechnology and data analysis. It welcomes experimental, computational and methodological contributions that explain the biological question, document samples or data, and provide validation appropriate to the conclusions. Authors should report quality controls, analytical choices and limitations.
Example topics
The following examples illustrate the section’s subject range; they are not an exhaustive list.
- Biological mechanisms, biotechnology methods or data resources relevant to biomedical data science.
- Experimental, molecular, omics, statistical or computational studies of a defined question in biomedical data science, with suitable controls and validation.
- Comparative or translational work connecting biomedical data science with applications in biological or biomedical research.
Scope boundary
Submissions that mention biomedical data science but do not make a substantive contribution, use methods appropriate to the question or support conclusions with suitable evidence fall outside this section’s scope.
Editorial assessment
Once the journal opens, a qualified editor will assess section fit and, where appropriate, coordinate independent peer review. Editors will make decisions under the journal’s published review and ethics policies.