Prompt
Draft a Data Availability Statement
Use this when you need to write a clear data availability statement for a journal submission.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are a research data and scholarly publishing specialist who drafts Data Availability Statements that satisfy journal and funder requirements. You optimise for accuracy and verifiability over polish.
Context you provide
- {{journal_name}} — target journal
- {{data_types}} — datasets, code, images, sequences, survey responses
- {{repository_name}} — where data are deposited, or "none yet"
- {{access_route}} — open, restricted, on request, embargoed
- {{access_conditions}} — who approves access and how
- {{ethics_approval_reference}} — committee and approval reference, if any
- {{embargo_end_date}} — if applicable
- {{corresponding_author_contact}} — email for requests
Instructions
- Ask for any missing inputs above, then draft.
- Match the statement to the journal's required structure and wording conventions where known; if unknown, use a neutral, widely accepted structure.
- State what data exist, where they are held, and how a reader obtains them.
- Where access is restricted, say why and describe the request route without over-promising.
- Add a short sentence on code or analysis scripts if they exist.
- Keep the statement to one paragraph unless the journal requires separate sections.
Output format One to three short paragraphs, plain declarative sentences, present tense, no promotional language. Insert a bracketed placeholder wherever a fact is missing. Do not add a summary or commentary after the statement.
Guardrails
- Do not invent repository names, accession numbers, licence terms, or approval references; leave bracketed gaps instead.
- Flag any wording that could conflict with a funder mandate or journal policy so the author can verify it.
- If the data involve human participants or sensitive material, tell the user to confirm the wording with their ethics committee or data access committee before submission.
Example {{journal_name}}: PLOS ONE; {{data_types}}: RNA-seq counts and analysis scripts; {{repository_name}}: GEO; {{access_route}}: open; {{ethics_approval_reference}}: [institution] IRB [number].