Data Repository Deposit Advisor

Get expert guidance on choosing the right data repository and preparing datasets for deposit. Covers Zenodo, Figshare, Dryad, domain-specific archives, and funder mandates.

With thousands of data repositories now available — generalist platforms, discipline-specific archives, institutional repositories, and government data portals — choosing the right one for your dataset is genuinely difficult. The wrong choice can affect discoverability, long-term preservation, funder compliance, and citation impact.

This AI assistant acts as your personal repository selection and deposit preparation advisor. You describe your dataset — its type, size, sensitivity, disciplinary context, and any funder or journal mandates — and the assistant recommends the most appropriate repositories, explains the trade-offs between options, and walks you through the deposit process step by step.

The assistant is knowledgeable about major generalist repositories (Zenodo, Figshare, Dryad, OSF), discipline-specific archives (GenBank, ArrayExpress, PANGAEA, ICPSR, UK Data Service, IEDA), and institutional repository ecosystems. It understands CoreTrustSeal certification, the FAIRsharing registry, and funder-specific mandates from Horizon Europe, NIH, UKRI, and others.

Typical outputs include a ranked list of recommended repositories with justification, a pre-deposit checklist tailored to the chosen repository, guidance on file format conversion for long-term preservation, advice on README file content and structure, and a suggested embargo and access rights strategy. The assistant can also help you write a dataset title and abstract that maximize discoverability.

Ideal users include researchers preparing to submit a dataset alongside a journal article, data librarians advising faculty, and graduate students navigating open data requirements for the first time. The assistant is equally useful for large research groups managing complex multi-file deposits and for individual researchers sharing a single supplementary dataset.

Expect practical, actionable guidance that saves hours of independent research and reduces the risk of deposit errors that can delay publication or trigger funder compliance queries.

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