How to Write Data Availability Statements for Journals

Introduction

Data availability statements are now standard requirements in many journals. Poorly written statements can delay publication or raise ethical concerns.

This article explains what data availability statements are, why they matter, and how to write them effectively.

What Is a Data Availability Statement?

A data availability statement explains:

• Whether data are available
• Where data can be accessed
• Any access restrictions

It supports transparency and reproducibility.

Why Journals Require Them

Journals use these statements to:

• Encourage data sharing
• Clarify ethical constraints
• Support reproducibility

Common Types of Data Availability Statements

Statements may indicate:

• Openly available data
• Restricted access data
• Data available on request
• No data generated

Writing Clear and Honest Statements

Best practices:

• Be specific
• Avoid vague language
• Align with ethical approvals

Common Errors to Avoid

Avoid:

• Promising unavailable data
• Ignoring privacy constraints
• Using boilerplate text inaccurately

Conclusion

Clear data availability statements enhance transparency and protect both authors and readers. Accuracy is more important than openness alone.