# Administrative Core

> **NIH NIH U19** · SALK INSTITUTE FOR BIOLOGICAL STUDIES · 2021 · $353,503

## Abstract

Project Description/Abstract - Administrative Core
The Administrative Core will coordinate all scientific, administrative and external reporting activities of
the CEMBA research program. The central objective of the Core is to facilitate reaching the
milestones of discovery laid out in the CEMBA Research Segments, Data Core and Overall program
research strategies. The Center Directors and the Scientific Leadership Committee will be the
ultimate decision-making body for all CEMBA administrative and scientific policies. The Core will
support a Program Manager as key personnel for overseeing all Center activities, and an
administrative assistant for help in meeting planning and the generation of manuscripts and progress
reports. The Core will coordinate bi-weekly CEMBA research team meetings, monthly leadership
committee conference calls and the annual CEMBA retreat. The administrative core will also serve as
the central conduit for interaction between CEMBA and the overall BICC Network. These activities
include oversight of data sharing between the CEMBA-DC and the BCDC, participation of CEMBA
investigators in BICCN conference calls and working groups, attendance of team members at BICCN
in-person meetings, and the development of reports, websites and other outreach activities as an
integral part of the BICCN.

## Key facts

- **NIH application ID:** 10168636
- **Project number:** 5U19MH114831-05
- **Recipient organization:** SALK INSTITUTE FOR BIOLOGICAL STUDIES
- **Principal Investigator:** Joseph R Ecker
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $353,503
- **Award type:** 5
- **Project period:** 2017-09-20 → 2022-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10168636

## Citation

> US National Institutes of Health, RePORTER application 10168636, Administrative Core (5U19MH114831-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10168636. Licensed CC0.

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