Vivli review
A managed route to request and analyze clinical-trial data in a secure workspace.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Vivli is a research data-sharing platform focused on individual participant-level data from completed clinical trials. It is aimed at researchers seeking controlled access to clinical datasets, and at contributors who want to make data available under managed access. Researchers can search study listings, submit proposals, and analyze approved data in a cloud-based research environment. The repository and metadata index are specialized for clinical research rather than general-purpose research data management.
Access follows a proposal-based process: contributors review requests according to their policies, and approved access may require a data use agreement. This gives contributors a role in deciding how their datasets are shared, but researchers should expect to wait for review and comply with the conditions attached to each dataset. Vivli also supports metadata curation, the DataCite metadata schema, DOI assignment for listed clinical research, and audit trails for dataset and metadata activity. Those features suit teams that need managed access and traceable records around clinical-trial data.
Metadata access and data requests are free, but that does not mean every stage of analysis is free. The secure research environment may incur daily charges after specified included periods, and it has multiple paid sizes; researchers should account for workspace costs alongside any access conditions. The cloud workspace includes Jupyter Notebook, Python, STATA, and R. Vivli is a fit for clinical researchers who can work within contributor review and need a controlled analysis setting. Teams seeking an open, immediate download model or a repository for research fields beyond clinical trials may prefer a broader RDM service.
Vivli pros and cons
- Where it wins
- Search study metadata and request data packages from contributors
- Proposal review supports contributor-controlled dataset access
- Secure cloud workspace includes Jupyter, Python, STATA and R
- Where it doesn't
- Dataset requests depend on contributor policies and approval
- Data use agreements may be required for approved requests
- Secure workspace use may incur daily charges
Vivli fact sheet, pricing and score →
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