IJLI supports open, responsible data sharing for limnology research. Authors should deposit data and code in trusted repositories when possible, with clear access instructions.

We recognize that environmental datasets may require controlled access due to sensitive locations, protected species, or regulatory constraints. Authors should document restrictions and access pathways.

Select repositories that align with your data type and privacy requirements. Limnology studies often use monitoring networks or long term datasets that require clear access agreements.

• Environmental data repositories with controlled access
• Hydrology and water quality repositories
• Long term ecological research data archives
• Remote sensing and geospatial data repositories
• Code repositories such as GitHub or GitLab with release tags

Sensitive locations, endangered species records, or proprietary monitoring sites may require data masking or controlled access. When full sharing is not possible, provide summary datasets and clear instructions for requesting access.

Authors should document data governance, including custodians, access review procedures, and permit limitations.

Monitoring network data may involve jurisdiction specific restrictions. Describe the legal and governance frameworks that apply to your dataset, including approvals from environmental authorities.

If data access is limited to authorized users, provide clear instructions for requesting access and expected response timelines.

Availability statements should explain where data and code are hosted, how they can be accessed, and what restrictions apply. If data cannot be shared publicly, clarify the process for requesting access and the criteria for approval.

• Include repository links or accession numbers in the manuscript
• State licensing terms for data and code when applicable
• Provide documentation for custom scripts or pipelines
• Describe any access restrictions and approval requirements

Prepare a data management plan early, including file organization, metadata labeling, and privacy safeguards. Ensure that analytic code references the correct versions of datasets and includes clear instructions for reuse.

For mixed methods studies, note how qualitative data are handled, anonymized, and archived. Consistent documentation strengthens reproducibility and policy relevance.

Choose repositories that provide stable identifiers and long term preservation policies. Persistent access ensures freshwater evidence remains available for future monitoring and restoration evaluations.

When possible, include documentation for data dictionaries and codebooks so secondary users can interpret variables correctly.

Preserved datasets support longitudinal ecosystem analyses.

Use descriptive titles, keywords, and study dates when depositing data. Metadata that reflects waterbody type, parameters, and geography improves discoverability for freshwater stakeholders.

Include version numbers for updated datasets.

Provide contact details for data access questions when possible.

IJLI is committed to rigorous, transparent publishing in limnology and freshwater science. We emphasize reproducible field and laboratory methods, clear reporting of water quality and ecological outcomes, 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 freshwater ecology, hydrology, and environmental stewardship.