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Active NON-SBIR/STTR RPGS NIH (US)

CORE B: Data Management Core


Funder NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES
Recipient Organization Albert Einstein College of Medicine
Country United States
Start Date Sep 01, 2024
End Date Jun 30, 2029
Duration 1,763 days
Number of Grantees 1
Roles Principal Investigator
Data Source NIH (US)
Grant ID 10863594
Grant Description

The overarching goal of our research consortium, entitled "PROVIDENT: PRepositioning Optimized Vaccine strategies and Immunotherapeutics against Diverse Emerging iNfectious Threats," is to establish a cooperative research center focused on the development of "plug-and-play" countermeasure strategies against

nairoviruses, hantaviruses, and paramyxoviruses. PROVIDENT is not only a highly interwoven collaboration in itself—it also represents one potential spoke in a larger network of ReVAMPP centers. To create the high degree of transparency and compatibility necessary to fully realize the potential for synergy within the ReVAMPP

network, it will be imperative to define a concise set of principles and standards to allow information to be shared and processed in a uniform and consistent manner across all centers. Accordingly, we propose herein a holistic data management approach that defines and adopts best practices to be implemented across

the ReVAMPP network. To create a formal framework of technical standards for data capture and transfer ensuring data harmonization, reproducibility, consistency, and integrity and to establish network-wide sharing policies fostering collaborations, best practices will be developed by our team in close cooperation with the

ReVAMPP Coordination and Data Sharing Center (CDSC) and other ReVAMPP Data Management Cores. Centralized resources for data housing, management, and sharing will be established and will support cross- center and cross-network confidential access to structural, biochemical, biological, and multi-omics data

generated by the center’s four research projects and three research cores. Our long-term goals are to maximize data and resource accessibility in a standardized, organized, secure, reproducible, confidential, and flexible manner and to establish central platforms promoting collaboration, cooperation, and streamlined knowledge

transfer. These resources will also help provide a roadmap for data management and harmonization in future multicenter consortia.

All Grantees

Albert Einstein College of Medicine

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