Loading…
Loading grant details…
| 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 |
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.
Albert Einstein College of Medicine
Complete our application form to express your interest and we'll guide you through the process.
Apply for This Grant