Core B: Data Management Core

ABSTRACT Core B: Data Management Core Washington University (Miller, J. Philip) The overarching objective of the Data Management Core-B is to serve as the central hub for the analysis, sharing and harmonization of data across the Respirovirus, Rubulavirus, Peribunyavirus and Phenuivirus- ReVAMPP (R2P2-ReVAMPP) center at Washington University. The core will work directly with Projects 1-4

and Scientific Cores C-E of the R2P2-ReVAMPP center to provide the expertise necessary to ensure the effective collection, sharing, storage, harmonization, and analysis of data sets and to enable dissemination of information broadly within the center. We aim to reimagine how a Data Management Core operates by leveraging

the power of cloud technology and metadata-based ontologies. Traditional models of data cores tend to compartmentalize information into separate databases for each project or core, which are then merged for specific analyses when needed. This approach, while functional, can lead to inefficiencies, discrepancies

between datasets, and an inability to harness the full potential of interconnected datasets. Our innovative proposal involves the use of WUVAX, a modern, cloud-based system. Instead of separate databases, all data in WUVAX is integrated, updated in real-time, and made directly accessible to investigators.

A simplified user interface where data and progress for Projects 1-4 and Cores C-E can be visualized and assessed in real time will inform investigators of the progress of research within the Center. Metrics will be displayed in a user-friendly manner involving graphs, charts, tables and project time-lines. We will develop and

implement a library on the WUVAX application where documentation, manuscript drafts, Center policies, reports, datasets, etc. will be stored. The Core B team is skilled in various data analysis methods, including basic univariate analyses (e.g., t-tests, chi-square tests), advanced multivariable techniques (e.g., generalized linear

models), and machine-learning approaches (e.g., classification trees, random forests). Core B will apply these skills to offer analytical support to the Projects and Cores. The Data Management Core-B will also interface directly with the overall ReVAMPP network Coordinating and Data Sharing Center (ReVAMPP CDSC) so that

data is acquired and disseminated within the overall network, its partners, and the scientific community.