IJARD 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 aquaculture research outcomes.

Authors should provide the data required for independent verification of results. This includes raw data, processed outputs, and metadata describing culture conditions and experimental design.

• Raw monitoring or sampling data
• Processed datasets used for analysis
• Metadata describing species, life stage, and conditions
• Quality control summaries and thresholds

Analytical code and workflows improve reproducibility. When feasible, share scripts or analysis pipelines 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 privacy or commercial 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.

• General data: Zenodo, Figshare, Dryad
• Environmental data: NOAA and regional repositories
• Genetic data: NCBI GEO, ENA where applicable
• Code repositories: GitHub, GitLab, Bitbucket

Report stocking densities, water quality parameters, and husbandry conditions so readers can interpret results across production systems.

Include details on species, strain, age, and life stage to support reproducibility and comparisons across studies.

When reporting feed trials, describe diet formulation, feeding schedules, and conversion metrics used to evaluate performance.

If disease challenges are part of the study, specify pathogen strain, exposure protocol, and biosecurity measures applied.

Discuss environmental sustainability implications, including effluent management, resource efficiency, and ecosystem impacts when relevant.

Provide clear descriptions of sampling methods, replication, and statistical models to support robust interpretation.

If selective breeding or genetics are involved, report breeding design, pedigree structure, and selection criteria.

Describe how welfare considerations were addressed, including anesthesia, handling, and mortality monitoring.

When reporting growth performance, include baseline measurements and explain normalization methods.

If trials involve recirculating systems or aquaponics, detail system configuration, filtration, and monitoring protocols.

Explain how climate or seasonal variables may influence results and how they were controlled or measured.

Provide clarity on production scale, such as laboratory, pilot, or commercial, to contextualize applicability.

Discuss limitations such as short trial duration, species-specific constraints, or site-specific conditions.

IJARD is committed to rigorous, transparent publishing in aquaculture 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 aquaculture and fisheries research.