Data Archiving Permissions and Sharing Policies
The Journal of Carbohydrates supports transparent research by encouraging responsible data sharing and long-term archiving. These permissions and expectations help preserve datasets and enable reproducibility across glycoscience and carbohydrate research.
Author Rights and Data Permissions
Authors retain ownership of their data and are encouraged to share it responsibly.
Authors may archive datasets, protocols, and supplementary materials in trusted repositories of their choice, including institutional repositories, discipline-specific databases, or general open data platforms. We request permission to link to these datasets from the published article so readers can access underlying evidence and validate findings.
When data cannot be openly shared due to legal, ethical, or commercial restrictions, authors should provide a clear data availability statement explaining the limitation and offering a pathway for qualified access when feasible. We support transparent disclosure while protecting sensitive information.
Author Retains Data
Ownership remains with the research team or institution.
Repository Choice
Use discipline-specific, institutional, or general repositories.
Linking Permission
We link datasets to strengthen transparency and reuse.
What to Archive
Archiving helps preserve the evidence that supports carbohydrate science conclusions.
Experimental Data
- Spectra, chromatograms, and analytical outputs
- Raw and processed glycan data
- Enzymatic assay datasets
- Materials characterization results
Methods and Protocols
- Synthesis and purification workflows
- Instrument settings and software
- Sample preparation details
- Statistical analysis scripts
Supplementary Files
- Extended figures and tables
- Raw images and microscopy data
- Code and algorithms
- Validation datasets
Metadata
- Accession numbers and identifiers
- File descriptions and units
- Licensing terms
- Version information
Data Availability Statement
Every manuscript must include a clear statement describing data access.
Required: Provide repository links, accession numbers, and any access restrictions in a dedicated Data Availability section. If data are available upon request, specify the conditions and a contact method.
For glycomics and glycoproteomics, include raw data and processing scripts where possible. For food science and nutrition studies, include summary datasets and analytical methods. For industrial or proprietary data, provide a transparent description of limitations.
Responsible Sharing and Sensitive Data
We balance openness with ethical and legal obligations.
Human Subjects
Commercial Constraints
Biosecurity
Data Integrity
Archiving Permissions Granted to the Journal
By publishing with us, you grant permission for responsible data linking and preservation.
The Journal of Carbohydrates may store supplemental material alongside the article, link to external repositories, and present metadata describing datasets. These permissions support transparent scholarship without transferring data ownership. Authors remain responsible for ensuring the accuracy and legality of shared data.
Repository and Citation Best Practices
Well-prepared data records improve reuse and citation.
When selecting a repository, choose one that provides persistent identifiers such as DOIs or stable accession numbers. Include clear metadata describing the dataset, file formats, and any processing steps. For glycomics and carbohydrate analytics, provide raw and processed files where feasible, plus README documentation that explains how to interpret the data.
Cite datasets in the reference list using the repository-provided identifier. Data citations help ensure that your datasets are discoverable and credited, and they allow readers to verify analytical workflows. If software scripts or code are required to reproduce the results, include them in the repository or provide a stable link in the manuscript.
Embargo and Controlled Access
Limited access may be appropriate for sensitive datasets.
If datasets require temporary embargoes or controlled access, provide the rationale and the expected release date. Clearly describe the conditions under which qualified researchers may request access. Transparency about restrictions helps reviewers assess reproducibility while respecting legal and ethical constraints.
Support Reproducible Carbohydrate Science
Clear data archiving strengthens the impact and credibility of your work.
