# Remote Data Enclave Core (RDEC)

> **NIH NIH P30** · JOHNS HOPKINS UNIVERSITY · 2021 · $270,014

## Abstract

Abstract – Remote Data Enclave Core (RDEC) – Core E
The Remote Data Enclave Core (RDEC) will be the “lab” for the HEADS Center, offering secure and
remote access to a wide range of ADRD-relevant datasets in a high-capacity computing environment.
Given the importance and growing relevance of large and often restricted data sources that can be
applied to address many of the most pressing questions tied to HEADS themes, claims data from
Medicare and Medicaid being the most prominent example, a high-capacity computing environment that
meets strict security and privacy standards is a critical need that the RDEC is designed to meet. The
RDEC will support a remote data enclave in a high-capacity computing environment to address the
overall themes of the HEADs Center. The RDEC will have the following Specific Aims: SPECIFIC AIM 1.
To create and sustain hardware and software for a remote data enclave with (a) security standards, (b)
privacy protection, (c) high-capacity computing, and (d) remote access. SPECIFIC AIM 2. To build and
maintain a unified data warehouse of ADRD-relevant datasets that (a) centralizes inventory of data
assets, (b) systematizes licensing and data use agreements, and (c) maintains and updates critical
datasets. Data warehouse will include restricted datasets, proprietary datasets, and linkable public-use
files. SPECIFIC AIM 3. To provide high-level services to remote data enclave users including (a)
establishing and ensuring fidelity to processes for data access, (b) assisting with data use and reuse
agreements, and (c) training and assisting in maintenance of data privacy and security. The RDEC will
establish and maintain a rigorously protected data infrastructure, leveraging significant investments in
powerful national datasets and providing HEADS Center investigators with unparalleled access to these
resources. By establishing a centralized accessible data warehouse in a robust and secure environment,
the RDEC will address critical barriers to entering this area of study, thus, attracting and supporting the
development of talented new investigators to ADRD research. The RDEC will enable creative linkages
across the growing collection of datasets to yield innovative insights related to HEADS Center themes.

## Key facts

- **NIH application ID:** 10224095
- **Project number:** 5P30AG066587-02
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** DANIEL E POLSKY
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $270,014
- **Award type:** 5
- **Project period:** 2020-08-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10224095

## Citation

> US National Institutes of Health, RePORTER application 10224095, Remote Data Enclave Core (RDEC) (5P30AG066587-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10224095. Licensed CC0.

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