International Journal of Thorax

International Journal of Thorax

International Journal of Thorax – Data Archiving Permissions

Open Access & Peer-Reviewed

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International Journal of Thorax - Data Archiving Permissions

Responsible data sharing that protects participants and strengthens science

Data Availability Requirements

International Journal of Thorax supports responsible data sharing for clinical, translational, and population health research.

Research Focus

Data sharing must protect participant privacy and comply with ethical, legal, and institutional requirements.

Why It Matters

All submissions must include a Data Availability Statement describing where underlying data can be accessed and any restrictions that apply.

Quality Signals

Acceptable options include public repositories, controlled access, availability upon reasonable request, or embargoed release with a clear timeline.

Trust & Integrity

For clinical trials, provide registry information and data sharing plans, and share de identified datasets when possible.

Visibility

For imaging studies, use appropriate imaging repositories or controlled access systems and include acquisition parameters.

Author Support

For physiologic or monitoring datasets, provide codebooks and metadata to support reuse and transparency.

Data & Access

Where possible, assign DOIs to datasets so they can be cited and tracked alongside the article.

Method Clarity

If embargoes apply, specify the timeline and rationale. Data statements should clarify licensing terms and restrictions.

Impact

For third party datasets, describe access criteria and expected response timelines for requests.

Compliance

Include software versions and analytic code or scripts when possible to support reproducibility.

Research Focus

If data cannot be shared, explain why and consider providing aggregated or anonymized results to support verification.

Why It Matters

Provide clear data access instructions to reduce delays for readers and reviewers.

Data Sharing Quick View

  • Data availability statement required
  • De identified datasets or registry IDs preferred
  • Controlled access for restricted data
  • Include code and validation reports when possible
  • Provide accession numbers or repository links
  • State embargoes or restrictions clearly
  • Use standard file formats
  • Cite datasets in references

Data Integrity Notes

Strong data practices improve trust and support reuse.

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Repository Alignment

Use trusted clinical, imaging, or outcomes repositories to connect data to publications.

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Embargo Management

Clarify release timelines and access terms for sensitive datasets.

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Documentation

Provide metadata, codebooks, and analysis notes.

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Preservation

Use repositories that commit to long term access and version control.

Study Type Expectations

Data sharing expectations vary by study design.

Clinical and Outcomes Data

Clinical

Share de identified datasets and documentation for clinical or observational studies.

  • Provide de identified data or access criteria
  • Include data dictionaries and variable definitions
  • State consent and privacy constraints clearly
  • Provide accession numbers or repository links

Imaging and Physiologic Data

Imaging

Share imaging or device data with acquisition details and de identification steps.

  • Provide imaging files or access pathways
  • Include acquisition and processing parameters
  • Share scripts and workflows when possible
  • Document de identification and quality checks

Data Sharing Expectations

Use this quick table to align data type and access level.

Data TypeExpectationNotes
Clinical datasetsDe identified data or controlled accessProvide codebooks and access criteria
Imaging dataRepository or controlled accessInclude acquisition parameters
Trial dataRegistry plus data sharing planProvide registration ID and timeline

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 institutional archives, imaging repositories, or trusted general repositories.

2

Prepare Documentation

Include metadata, codebooks, processing notes, and de identification details 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.
  • Ensure de identification and consent requirements are respected.

Submit Your Manuscript

Publish with transparent data policies and open access visibility.

For assistance, contact us at [email protected]