Data Management Core

CORE 2: DATA MANAGEMENTAND STATISTICAL CORE ABSTRACT/SUMMARY The Émergents ICEMR is sustained by a data-driven program, and the primary responsibility of the Data Management & Statistical Epidemiology (DSME) Core will be to provide a central source of expertise related to data management, biostatistical analyses, and coordination of secure data exchange and archiving across all Core Components and Research Program Projects. The management of the data requires the establishment of a pipeline for data flow to/from the core components and research projects, domestic and international partners at different institutions. To meet this need, the DMSE will implement and coordinate the following: (a) provide administrative support for data management and biostatistical analyses to ensure the success of the Émergents ICEMR; (b) expand and maintain an integrated data management and storage system that integrates clinical/sample data from research activities; and (c) develop and support ongoing implementation of standard operating procedures (SOPs) regarding data security and participant confidentiality. Dr. Ryan, will be the CORE 2: DMSE lead, supported by Dr. Ify Aniebo (ACEGID) and Dr. Emmanuel Elanga (CRID). Dr. Ryan is a medical geographer, broadly trained in quantitative ecological modeling, spatial analyses, and eco-informatic approaches to disease ecology. Dr Ryan has extensive experience as the Data Management Core lead for large consortia research programmes both in the US and with international partners. Throughout the ICEMR the DSME will (a) develop and support implementation of all standard operating procedures (SOPs) related to data collection, security, management, and analyses across all projects; (b) support quantitative study design and analytical results within all project proposals, which will be facilitated by frequent and close communication with ongoing data collection, management, updating, and dissemination to collaborators; (c) coordinate efficient and consistent utilization of data and statistical resources across the projects by providing standard methodology and expert staff support that are readily accessible to all investigators; (d) produce well curated and documented raw, archived, and public product data, and will ensure metadata standards are met and maintained for a variety of outlets and repositories (e.g., Genbank, Data Dryad, OSM, FGDL); (e) establish a central, secure integrated data management and storage system; (f) establish a program-specific geoportal; and (g) maintain ongoing development of source code available through a Github public repository, to release analytic code in a commented, sustainable release.