Does UF have an institutional repository to store data and, if so, what is the link to it?
Yes, the IR@UF https://ufdc.ufl.edu/ufir and https://guides.uflib.ufl.edu/ufir.
The Libraries and the university’s IT department assist researchers in storage of data. The IR@UF is typically for smaller datasets less than 2 GB. External general data repositories datasets are for larger datasets greater than 2 GB (e.g. Zenodo – up to 50 GB and Zenodo FAQ). UF Research Computing is for datasets greater than 1 TB. Researchers can search the Registry of Research Data Repositories (re3data) for the most appropriate data repositories by discipline.
- Scientific Data Generalist Repository Guidance – https://www.nature.com/sdata/policies/repositories#general
- IR@UF: UF Institutional Repository IR@UF (free)
- NIH NLM Trans-NIH BioMedical Informatics Coordinating Committee (BMIC) Generalist Data Repositories– https://www.nlm.nih.gov/NIHbmic/generalist_repositories.html (includes free and for fee)
- UFIT Research Computing Flyer – https://www.rc.ufl.edu/documentation/flyers/
- Zenodo Generalist Repository (up to 50GB per dataset) (UF Integrated Risk Management Fast Path Solutions approved for open data) – https://zenodo.org/ (free)
- What are the size limits in Zenodo?
Zenodo currently accept up to 50GB per dataset (you can have multiple datasets); there is no size limit on communities. However, Zenodo does not want to turn away larger use cases. If you would like to upload larger files, please contact Zenodo Support (https://zenodo.org/support), and Zenodo will do their best to help you. Please be aware that Zenodo cannot offer infinite space for free, so donations towards sustainability are encouraged.
- What are the size limits in Zenodo?
Considerations include:
- Working storage vs. long-term storage
- Amount of data: small vs. large
- Processing or computational space needed
- Time needed to store: short-term vs. long-term
- Costs to purchase your own equipment vs. renting space
- Using UF space or non-UF space
- If non-UF space, using general vs. discipline repository
- Quality of data and metadata to meet standards of repository
Working Storage — while you are collecting and analyzing your data
Long-Term Storage — where you keep the versions of your data that you wish to preserve indefinitely and that you are willing or required to share with other researchers.