Simpler Grants.gov #RFA-OD-25-012

NIH Grant for Informatics and Coordination Services for Mutant Mouse Resource and Research Centers

The National Institutes of Health (NIH), through its Office of Research Infrastructure Programs (ORIP), is seeking a grantee to operate the Informatics, Coordination and Service Center (ICSC) for the Mutant Mouse Resource and Research Centers (MMRRC) consortium. - Government Buyer: - National Institutes of Health (NIH), Office of Research Infrastructure Programs (ORIP) - Services Requested: - Informatics and coordination services for the MMRRC consortium - Development and maintenance of data management systems - Integration with resource databases - Public website and customer service center operations - Order processing and application review - Marketing and reporting - Hosting consortium meetings - Coordination with new approach methodologies (NAMs) such as cell culture, organoids, computational models, and microphysiological systems - Data collection and analysis to improve human disease model predictiveness - Notable Requirements: - Emphasis on supporting and integrating new scientific methodologies (NAMs) - Focus on enhancing the predictiveness of human disease models - OEMs and Vendors: - No specific OEMs or vendors are named, as this is a grant for service provision rather than product procurement - Funding: - Total available funding is $878,000, with one expected award

Description

This Notice of Funding Opportunity (NOFO) provides continuing support for the Informatics, Coordination and Service Center (ICSC) unit of the Mutant Mouse Resource and Research Centers (MMRRC) consortium. The ICSC will provide informatics and coordinating services including data management system development, integration with other databases, public website maintenance, order processing, and coordination of mouse strain donations and orders. The center will also support marketing efforts, reporting, and hosting consortium meetings. A key focus is coordinating efforts to develop new approach methodologies (NAMs) to enhance predictive power of human disease models.

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