New Initiatives in the CAVD DataSpace

Drienna Holman, Senior Project Manager, CAVD DataSpace, Biostatistics, Bioinformatics, and Epidemiology (BBE), Vaccine and Infectious Disease Division (VIDD), Fred Hutch

Jason Taylor, Bioinformatics Analyst, CAVD DataSpace, Biostatistics, Bioinformatics, and Epidemiology (BBE), Vaccine and Infectious Disease Division (VIDD), Fred Hutch


The Collaboration for AIDS Vaccine Discovery (CAVD) is an international network whose primary mission is to accelerate the development of a safe and effective HIV vaccine through a combined effort across research institutions. DataSpace ( is an integral part of the CAVD’s Global Access policy which requires public access to data and information from CAVD studies.

DataSpace is a data sharing and discovery tool developed to empower HIV vaccine researchers. This LabKey-based software application is designed to facilitate self-guided data exploration across studies and increase awareness of the scientific questions being evaluated in the field of HIV vaccines. Currently, binding antibody, neutralization antibody, and cellular immunoassay results from over 192 vaccine products tested in 64 studies conducted in the CAVD have been harmonized and are available for exploration and download. Data are included from both clinical trials and studies of non-human primates and other animals.

This presentation will provide an introduction to DataSpace and discuss two recent initiatives – membership expansion to the public and the release of a new interface customized to handle monoclonal antibody characterization data.

Speaker Bios: Drienna Holman and Jason Taylor are members of the Collaborative DataSpace team at the Vaccine Immunology Statistical Center (VISC) in the Hutch’s Vaccine and Infectious Disease Division. Drienna is a program manager with over 20 years experience in study and data operations for HIV vaccine trials, serving vaccine networks such as the CAVD, HIV Vaccine Trials Network (HVTN), and the AIDS Vaccine Evaluation Group (AVEG). Jason Taylor is the team’s lead bioinformatics analyst, bringing over 8 years of programming and analysis experience to the role. Jason has considerable expertise in R programming which he has leveraged for in-application reports, quality control, and data processing packages, such as the new monoclonal antibody assay data recently incorporated into DataSpace.

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