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3 months ago in Scientific publishing By Krirthi

What is a "data availability statement," and what level of detail should it include‑ Are there standards I must follow?

The journal I'm submitting to requires a "Data Availability Statement" in the manuscript. My data is complex—a mix of spreadsheets, code, and images. Do I just say "Data available on request," or do I need to deposit it in a public repository? What are the best practices?

Journal DataAvailability

All Answers (3 Answers In All)

By Akram Answered 2 months ago

"Data available on request" is increasingly considered insufficient by leading journals and funders. Best practice is to deposit your data in a certified, public repository (like Zenodo, Figshare, or a discipline-specific repository such as GEO for genomics) and cite the persistent identifier (DOI) in your statement. Your statement should be explicit. A strong template: "The [type of data, e.g., raw sequencing reads] generated in this study have been deposited in [Repository Name] under accession code [ABC123]. Processed data and analysis code required to reproduce the figures are available in [Secondary Repository or GitHub] at [DOI/URL]." For sensitive data (e.g., human subject data), describe the controlled-access process. This aligns with FAIR principles and enhances reproducibility. Journals now often check this; a robust statement can expedite review and increase your paper's credibility and utility.

Replied 1 month ago

By Krirthi

Thank you Akram, this was really helpful.

By Puneet Chadha Answered 1 month ago

Think of the data availability statement as part of your paper’s transparency. Readers should be able to understand exactly what data exist and how they can get them without emailing the authors. That usually means naming the repository, the type of data, and the identifier.

Most fields have emerging norms often driven by funders or major journals so it’s worth checking recent papers in your target journal. In my experience, being more explicit than required rarely causes problems and often builds trust with reviewers.

Replied 1 month ago

By Krirthi

Thanks a lot Puneet. this is really useful. I like the idea of treating it as transparency rather than a formality.

By Natasha Answered 1 month ago

From a practical standpoint, the level of detail should be enough for someone else to reproduce your figures. That usually includes raw data, processed data, and sometimes analysis code, each clearly labeled and linked.

If your data can’t be fully open, say why and explain the access conditions. Editors understand ethical and legal constraints, but vague statements raise red flags. A clear, honest data statement signals professionalism and often strengthens your paper’s credibility.

Replied 1 month ago

By Krirthi

Really helpful advice, thank you Natasha! The reproducibility angle makes it much clearer what level of detail is expected.

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