International Journal of Hydrocarbons - Data Archiving Permissions
Responsible data sharing that protects partners and strengthens engineering
Data Availability Requirements
International Journal of Hydrocarbons supports responsible data sharing for reservoir, production, processing, and sustainability studies.
Some datasets are proprietary or sensitive due to commercial agreements, safety, or national regulations, so our policies balance openness with lawful restrictions.
All submissions must include a Data Availability Statement describing where underlying data can be accessed and any restrictions that apply.
Acceptable options include public repositories, controlled access, availability upon reasonable request, or restricted availability due to contractual or regulatory limitations.
Authors are encouraged to share code, simulation input decks, and analysis scripts when possible. Clear documentation improves reproducibility.
Where possible, assign DOIs to datasets so they can be cited and tracked alongside the article.
If embargoes apply, specify the timeline and rationale. Data statements should clarify licensing terms and restrictions.
For proprietary datasets, describe access criteria and expected response timelines for requests.
For field data, provide metadata such as basin, depth range, units, and sampling frequency without exposing confidential identifiers.
Geophysical, core, or laboratory data should include acquisition parameters, calibration details, and quality control steps.
Data citation improves recognition for shared resources and strengthens reuse tracking across platforms.
If data cannot be shared, explain why and consider providing aggregated or anonymized results to support verification.
Provide clear data access instructions to reduce delays for readers and reviewers.
Use controlled access repositories when privacy concerns limit open sharing.
Include codebooks and variable definitions to support secondary analysis.
For imaging data, include resolution, magnification, and analysis methods.
Data Sharing Quick View
- Data availability statement required
- Repository with DOI preferred
- Controlled access for sensitive data
- Include code and protocols when possible
- Provide accession numbers for datasets
- State embargoes or restrictions clearly
- Use standard file formats
- Cite datasets in references
Data Integrity Notes
Strong data practices improve trust and support reuse.
De Identification
Remove asset identifiers and sensitive commercial terms where required.
Consent Alignment
Ensure data sharing aligns with operator agreements and regulatory obligations.
Documentation
Provide codebooks, variable definitions, and processing notes.
Preservation
Use repositories that commit to long term access and version control.
Study Type Expectations
Data sharing expectations vary by study design.
Field and Reservoir Data
Field DataShare operational datasets in line with contracts, safety, and regulatory requirements.
- Share de identified production or pressure data when feasible
- Use controlled access for proprietary well or seismic data
- Provide data access instructions and contact points
- Report regulatory approvals or data licenses
Laboratory and Process Data
LaboratoryShare protocols, code, and key datasets that enable replication across facilities and studies.
- Share core analysis, PVT, or catalyst datasets
- Include instrumentation settings and calibration
- Provide process flow and operating conditions
- Document analysis pipelines and scripts
Data Sharing Expectations
Use this quick table to align data type and access level.
| Data Type | Expectation | Notes |
|---|---|---|
| Field production data | Controlled access | Protect commercial agreements |
| Seismic or geophysical data | Share metadata | Include acquisition parameters |
| Simulation models | Provide input decks | Document assumptions |
Data Callouts
These statements are checked early in editorial screening.
Sensitive Data Handling
Use controlled access repositories when confidentiality, contractual, or legal limits apply.
Reproducibility Support
Share code, protocols, and metadata to enable validation and reuse when possible.
Archiving Workflow
Use these steps to prepare data for sharing.
Select Repository
Choose established repositories such as Zenodo, Figshare, OSF, or domain specific archives.
Prepare Documentation
Include codebooks, metadata, simulation inputs, and processing notes for reuse.
Write Data Statement
Describe access conditions, licensing terms, and any embargo timelines in the manuscript.
Frequently Asked Questions
Important Points
- Include data availability statements in every manuscript.
- Align data sharing with funder and institutional policies.
- Data citation improves recognition and reuse tracking.
Submit Your Manuscript
Publish with transparent data policies and open access visibility.
For assistance, contact us at [email protected]