DataWorks! Prize

Vivli, as part of the NIH Generalist Repository Ecosystem Initiative GREI, is delighted to be one of the repositories that researchers can use to request the data as part of the 2024 DataWorks! Prize. Of the GREI repositories, Vivli is the only one that focuses on sharing the data from completed clinical trials.

About the Eligible Studies on Vivli

Vivli is offering an array of 25 COVID-19 clinical trials that offer a unique and comprehensive exploration into the treatment and management of this disease.These landmark randomized controlled trials (RCTs) encompass a wide spectrum of pharmacological agents, including Losartan, Hydroxychloroquine, Azithromycin, Colchicine, and Nitazoxanide, targeting various stages and severities of the disease state. The trials cover diverse COVID populations, ranging from those with severe acute respiratory syndrome to hospitalized and non-hospitalized patients, as well as high-risk groups.

By engaging with these trial data (including the protocol, CRFs, raw data, data dictionary) researchers will contribute to the collective effort to combat the COVID-19 pandemic.

In total, there are 37 completed clinical trials on Vivli that are eligible studies for the DataWorks! Prize.To find out more about the overall challenge, please go to the main challenge website.

Search the Eligible Studies

How to access the study data

As part of the DataWorks! Prize, you will need to complete a registration on the submission website. To access the Vivli data, a challenge team will need to request the data through Vivli on the DataWorks! Prize Portal. As Vivli is a managed access platform, you will need to submit a Vivli data request for the studies. Please see the how to guide for directions on how to request eligible datasets from Vivli. An Accelerated Research Proposal Review will be conducted within 2 business days. Vivli will manage the execution of the Data Use Agreement. Once these steps are completed, the Vivli team will work with the researcher to download and access the data.