# Central Hub for Kidney Precision Medicine - Data Coordinating Center

> **NIH NIH U2C** · UNIVERSITY OF WASHINGTON · 2021 · $853,102

## Abstract

ABSTRACT
There is a critical need to help define CKD and AKI disease subgroups and identify critical cells,
pathways and targets for novel therapies. The overarching objective of this Central Hub application
for the KPMP is to create an environment to promote scientific rigor, patient safety, and the
successful interdisciplinary team science necessary to result in major advances in kidney disease
research. In order to accomplish this, we have assembled a team with expertise in data
coordinating center management, programming, biostatistics, biomedical informatics, and
epidemiology, with over 25 years of experience coordinating highly successful large-scale
longitudinal research studies. The overarching objective of the Central Hub of the KPMP is to create
an environment to promote scientific rigor, patient safety, and the successful interdisciplinary team
science necessary to result in major advances in kidney disease research. A key component of this
model is the KPMP Data and biosample Coordinating Center (DCC), which will have primary
responsibility for planning, facilitating, monitoring, and tracking data and specimen collection at the
recruitment sites. The DCC must provide organizational, statistical, and programming expertise in
multi-center studies including, but not limited to: (1) study design and protocol development; (2)
study implementation and execution; (3) data and sample transmission; (4) quality control; (5) data
and specimen tracking; (6) analysis of data from multiple sources; (7) communication facilitation. In
order to accomplish this, we have assembled a DCC team with expertise in data coordinating center
management, programming, biostatistics, biomedical informatics, and epidemiology, with over 25
years of experience coordinating highly successful large-scale longitudinal research studies.
The DCC will act as a core component of the KPMP Central Hub and will provide interfaces for data
submission and sample tracking. All activities will utilize informatics tools we support and govern for
a wide array of challenges, include our UW REDCap instance that hosts more than 3,000 projects in
a scalable and secure computing environment for custom electronic data capture. We will also
leverage our deep experience and capacity in de-identification of clinical datasets and our use of
named-entity recognition algorithms for annotation of unstructured text. Data will be made available
to the Data Visualization Core (DVC) and the Administrative Core (AC) through self-service web
interfaces, application program interfaces (APIs) and relational databases. We will work closely with
both cores to ensure the highest data quality and timely delivery of datasets for deployment into the
KPMP Tissue Atlas and visualization tools.

## Key facts

- **NIH application ID:** 10218146
- **Project number:** 5U2CDK114886-05
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Robyn Leagh McClelland
- **Activity code:** U2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $853,102
- **Award type:** 5
- **Project period:** 2017-09-15 → 2022-09-19

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10218146

## Citation

> US National Institutes of Health, RePORTER application 10218146, Central Hub for Kidney Precision Medicine - Data Coordinating Center (5U2CDK114886-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10218146. Licensed CC0.

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