# DCCPS- Surveillance Research Program

> **NIH NIH N01** · LEIDOS BIOMEDICAL RESEARCH, INC. · 2020 · $512,079

## Abstract

Abstract - As the SEER programs continue to expand (in quality, expanded outcomes collection, and utilization) it is critical to establish a model and a set of processes for ensuring confidence and trust in the use and application of the SEER data. This is particularly critical as SEER approaches potential opportunities to: 1) integrate new technologies to curate date (e.g., NLP), 2) improve quality and efficiency of existing platforms, 3) expand the scope of data collection (e.g., Residual Tissue Repository), and 4) foster new partnerships with other organizations (e.g., commercial pharmacy chains).

## Key facts

- **NIH application ID:** 10273211
- **Project number:** 75N91019D00024-0-759102000003-1
- **Recipient organization:** LEIDOS BIOMEDICAL RESEARCH, INC.
- **Principal Investigator:** LEONARD FREEDMAN
- **Activity code:** N01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $512,079
- **Award type:** —
- **Project period:** 2020-08-31 → 2021-08-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10273211

## Citation

> US National Institutes of Health, RePORTER application 10273211, DCCPS- Surveillance Research Program (75N91019D00024-0-759102000003-1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10273211. Licensed CC0.

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