Data Archiving and Permissions
Policies for data sharing, archiving, and content reuse in marine science publishing.
Preserving Ocean Research
IMSJ is committed to supporting data transparency and long-term preservation of marine research. Our policies balance open science principles with appropriate protections for sensitive data.
Authors are encouraged to make research data supporting their findings publicly available whenever possible. Data sharing enhances reproducibility and enables secondary analysis, accelerating marine science progress.
Data Statement Required: All manuscripts must include a Data Availability Statement indicating where supporting data can be accessed, or explaining why data cannot be shared (e.g., privacy concerns, third-party restrictions).
PANGAEA
Specialized repository for earth and environmental science data, including oceanographic and marine datasets.
Dryad
General-purpose repository for research data with curation services and DOI assignment.
Figshare
Open repository supporting various file types with citation-ready outputs and usage metrics.
Zenodo
CERN-hosted repository with integration for datasets, software, and supplementary materials.
IMSJ articles are preserved through digital archiving partnerships ensuring permanent access. Authors may also deposit published versions in institutional repositories and subject archives in accordance with our open access license terms.
Published articles are available under Creative Commons licensing, typically CC BY 4.0. This permits sharing, adaptation, and commercial use with appropriate attribution to the original authors and source. License terms are indicated on each published article.
For permissions inquiries beyond standard license terms, contact [email protected].
Authors must obtain permissions for reproducing third-party content (figures, tables, extensive quotations) prior to submission. Credit lines should be included as specified by rights holders. IMSJ cannot publish articles containing unauthorized reproductions.
Authors are encouraged to deposit analysis code in repositories such as GitHub or Zenodo with appropriate versioning and documentation. Persistent identifiers (DOIs) for code repositories can be cited in manuscripts, enabling reproducibility and appropriate credit for computational methods development.
When data cannot be fully shared due to protected species location information, proprietary agreements, or other valid restrictions, authors should explain limitations in their Data Availability Statement. Metadata and aggregated or anonymized data may be shareable even when raw data cannot be released.
Extended datasets, additional figures, detailed methodological protocols, and multimedia files can be submitted as supplementary materials. These undergo peer review alongside the main manuscript and are published online with permanent links. Supplementary materials should be referenced appropriately in the main text and formatted for reader accessibility.
When using data from repositories, cite datasets with appropriate identifiers and include in reference lists. Proper data citation acknowledges original data collectors and enables tracking of data reuse and impact across the scientific community.
