International Journal of Hydrocarbons

International Journal of Hydrocarbons

International Journal of Hydrocarbons – Data Archiving Permissions

Open Access & Peer-Reviewed

Submit Manuscript

International Journal of Hydrocarbons - Data Archiving Permissions

Responsible data sharing that protects partners and strengthens engineering

Hydrocarbon Energy Research
85%
Global Energy
24hrs
Review Start
100+
Countries
50%
Fee Reduction

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 Data

Share 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

Laboratory

Share 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 TypeExpectationNotes
Field production dataControlled accessProtect commercial agreements
Seismic or geophysical dataShare metadataInclude acquisition parameters
Simulation modelsProvide input decksDocument assumptions

Data Callouts

These statements are checked early in editorial screening.

Sensitive

Sensitive Data Handling

Use controlled access repositories when confidentiality, contractual, or legal limits apply.

Reuse

Reproducibility Support

Share code, protocols, and metadata to enable validation and reuse when possible.

Archiving Workflow

Use these steps to prepare data for sharing.

1

Select Repository

Choose established repositories such as Zenodo, Figshare, OSF, or domain specific archives.

2

Prepare Documentation

Include codebooks, metadata, simulation inputs, and processing notes for reuse.

3

Write Data Statement

Describe access conditions, licensing terms, and any embargo timelines in the manuscript.

Frequently Asked Questions

Can I restrict sensitive data?
Yes. Use controlled access repositories and explain restrictions clearly.
Do I need a DOI for datasets?
Where possible, assign a DOI to support citation and tracking.
What if data cannot be shared?
Explain restrictions and consider sharing aggregated or anonymized data.

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]