Data Archiving Permissions
Clear data sharing guidance that supports transparency, reproducibility, and model validation.
Journal at a Glance
ISSN: 2643-2811
DOI Prefix: 10.14302/issn.2643-2811
License: CC BY 4.0
Peer reviewed open access journal
Scope Alignment
Model based research, simulation, digital twins, computational methods, systems engineering, and data driven decision support. We prioritize validated models and reproducible workflows.
Publishing Model
Open access, single blind peer review, and rapid publication after acceptance and production checks. Metadata validation and DOI registration are included.
JMBR supports open and responsible data sharing to strengthen reproducibility and long term reuse. Authors should deposit datasets in recognized repositories and include a clear data availability statement.
Data archiving improves validation, enables secondary analysis, and increases confidence in model based outcomes.
Authors should provide the data required for independent verification of results. This includes raw inputs, processed outputs, and metadata describing model configuration and experiment design.
- Input datasets and boundary conditions
- Model configuration files or parameter sets
- Output files or derived results used in analysis
- Documentation describing model structure and assumptions
Analytical code and workflows improve reproducibility. When feasible, share scripts, model definitions, and container specifications that allow others to reproduce results.
If code cannot be shared, provide sufficient methodological detail to enable independent verification.
For sensitive or proprietary data, use controlled access repositories and comply with contractual or regulatory requirements. Authors should describe access conditions and timelines clearly.
Embargoes may be granted when justified by intellectual property or regulatory constraints, but authors should state the embargo end date and access process.
Select Repository
Choose a repository aligned with your discipline and data type.
Prepare Metadata
Include model details, parameters, and documentation.
Deposit Data
Upload datasets, code, and documentation with persistent identifiers.
Reference in Manuscript
Add repository links and identifiers in the data statement.
- General data: Zenodo, Figshare, Dryad
- Engineering data: IEEE DataPort, Open Science Framework
- Code repositories: GitHub, GitLab, Bitbucket
- Simulation outputs: institutional repositories or discipline specific archives
Is data deposition mandatory?
Data deposition is strongly encouraged and required when possible to support reproducibility.
Can I restrict access to sensitive data?
Yes. Use controlled access repositories and describe the access pathway.
Do I need to share model code?
Code sharing is encouraged; detailed methods are required if code cannot be shared.
JMBR is committed to rigorous, transparent publishing in model based research. We emphasize reproducible methods, complete data statements, and ethical compliance across all article types.
The editorial office supports authors, editors, and reviewers with clear guidance and responsive communication. For questions about scope or workflow, contact [email protected].
We encourage continuous improvement in reporting practices and share updates that help the community maintain high standards in computational and simulation research.
Need Data Archiving Guidance?
Contact the editorial office for questions about repositories or data statements.
