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Repositories for online publication data storage: a quick summary from Google AI
Online publication data storage is primarily handled by research data repositories, which are digital archives designed to preserve, share, and make scientific datasets discoverable. These platforms assign a Digital Object Identifier (DOI) to ensure your data is permanently citable.
Popular General-Purpose Repositories
If your institution or field does not require a specific platform, these "catch-all" repositories are highly recommended:
- Zenodo: A free, open-access repository operated by CERN. It accepts up to 50 GB per dataset and supports all file formats across all scientific fields.
- Figshare: A widely used commercial platform that offers free accounts for datasets up to 20 GB. It is particularly strong for hosting figures, videos, and media alongside raw data.
- Harvard Dataverse: An open-source repository open to all researchers globally. It is commonly used for social science data but accepts all disciplines.
- Dryad: A curated, non-profit repository specifically for data underlying scientific publications. It charges a fee (typically $120–$150) to ensure long-term preservation but is often integrated directly into the submission process for many journals.
- Open Science Framework (OSF): A free, open-source tool for managing the entire research lifecycle. It allows you to toggle between private and public settings for your data.
How to Find the Right Repository
Choosing the best storage depends on your discipline and funder requirements:
- Discipline-Specific: Peer-recognized repositories (e.g., GenBank for DNA sequences) are preferred because they use metadata standards tailored to your field.
- Institutional: Check if your university (e.g., University of Glasgow) provides its own data repository; these often offer the best local support and compliance.
- Registries: Use re3data.org or FAIRsharing.org to search a global database of over 1,500 repositories based on your specific subject or country.
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