Vivli

Source: https://www.re3data.org/

Vivli is a non-profit organization working to advance human health through the insights and discoveries gained by sharing and analyzing data. It is home to an independent global data-sharing and analytics platform which serves all elements of the international research community. The platform includes a data repository, in-depth search engine and cloud-based analytics, and harmonizes governance, policy and processes to make sharing data easier. Vivli acts as a neutral broker between data contributor and data user and the wider data sharing community.

Repository Website


Repository Scope

Data Collection Policy

Research Areas

Life Sciences; Medicine; Public Health;

Data Types

Experimental; Observational; Code; Survey; Text; Tabular; Synthetic/Simulation; Geospatial; Audio; Video; Image; Genomic/Molecular; Biomedical; 3D Models; Machine learning;

Data Types Explicitly Prohibited

Deep learning models (e.g., CNNs, RNNs, Transformers); Generative AI models (e.g., GANs, LLMs); Any model using proprietary, de-identified, or identifiable external datasets

Fee for JHU Researchers to Deposit

Free under 500GB

Data Limit

Up to 4TB. Fee model applies above 500GB.


Data Access

Option for Data Access

Controlled Access;

Details on Data Access

Restricted data is by request. Vivli administrators review requests. Accessing Vivli’s secure data enclave may require a compute fee.


Sensitive Data

Human Data Accepted

Yes

Level of Deidentification Required

JHU has a contractual agreement with Vivli that JHU affiliates anonymize deposited data following guidelines established by the JHM Data Trust: JHU’s Vivli Demographic Anonymization Requirements

Human Participant Data Sharing Policy

Sensitive Data Policy


Administration

Submission Policy

Required Funder

None listed

Persistent Identifier

DOI

Data Retention Period

10 Years

AI LLM Policy

Deep learning models (e.g., CNNs, RNNs, Transformers); Generative AI models (e.g., GANs, LLMs) are not accepted.


re3data

re3data Keywords:

clinical trial; clinical trials; data discovery methods; health care; individual participant-level data (IPD); medical treatments; patients; studies

re3data Repository Contact

https://vivli.org/contact/

re3data Record