Data Management Core

Univ Of Sciences, Tech & Tech Of Bamako, Bamako

Investigators

Linked publications & trials

Abstract

Project Summary/Abstract, Data Management Core (DMC) Malaria data sources are highly complex, multimodal, and are often siloed and unavailable in real-time. The Data Management Core (DMC) personnel have previously developed elaborate data systems from the ground up for international projects in low resource settings in multiple countries. The problem that the DMC seeks to address is establishing sound, coordinated, research data capture and management systems and apply the latest bio- statistical methods for synchronizing multi-site research projects for the West Africa International Centers of Excellence for Malaria Research (WA-ICEMR). The DMC will provide centralized data capture, storage, and management support to ensure the integrity of data for all projects and cores; monitors and coordinates timely submission of data, metadata, and related data analyses to centralized data systems and NIH-approved portals, including ImmPort; and provides biostatistics, data science, bioinformatics, and advanced data integration and analysis support for the WA-ICEMR research projects. The goals of the DMC are to design and implement data collection and management systems; facilitate data integration and use; and provide statistical, bioinformatics, and technical support for carrying out the overall aims of this U19. The Core will build on the data management systems developed for the proposed study to ensure quality, integrity, and accessibility of data throughout the project period as well as to support the timely submission of data and statistical analyses to the broader scientific community. The DMC will achieve these goals through the following Specific Aims: 1) Develop, test, validate, and a data system to ensure the integrity of data for all projects and cores; 2) Provide study design, population sampling, data visualization and biostatistical support for individual research projects to facilitate use of the latest sophisticated statistical methods and publication of results; 3) Lead development of project metadata, common data elements, and preparation of protocols, and standard operating procedures; 4) Monitor and coordinate timely submission of data, metadata, and related data analyses to the broader scientific community; 5) Lead DMC working group meetings, providing data capture, management, and analysis training.