BioData Catalyst Coordinating Center

iRODS Consortium

National Consortium for Data Science

NIH HEAL Data Stewardship Group

RADx Data Hub

South Big Data Hub

Clinical Informatics

Data Management

Data Science & Analytics

Earth Data Science

Networking Research & Infrastructure

Software Architecture

Advanced Cyberinfrastructure Support

Finance & Research Administration

Office of the Director

Office of the Director-Coordination Team

Research Project Management

Strategic Engagement & Communications

The Software Architecture group develops cloud computing data science platforms and environments. These include the HeLx platform used in neuroscience, plant genomics, and clinical research projects. The Software Architecture group also designs scalable knowledge management methods including full-text search systems augmented with knowledge graphs and machine learning models. 

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Isma Gilani

Michael T Bacon

Michael Borsellino

Chris Calloway

Tyler Logan Cheek

Sandra J Hall

Hannah Rose Hiles

Oleg Kapeljushnik

Yaphet Kebede

Murali Karthik Kothapalli

Joshua Seals

Jeff Waller

SciDAS: Scientific Data Analysis at Scale

HeLx: EduHeLx

Dug Semantic Search

Development: The Next-Generation Public Charging Infrastructure and Cyber-Information Network for Enhanced Inclusion and Independent Living of Power Mobility Device Users

HeLx: BRAIN-I

HeLx

BioData Catalyst

RENCI leverages systems and technologies to fight disease and improve health. Our expert teams lead cross-cutting efforts to advance fundamental research and support meaningful improvements in clinical practice.

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Kirk  Wilhelmsen

Clark D Jeffries

Phil Owen

Jason David Reilly

Jeff Tilson

GeneScreen

Surgical Critical Care Initiative (SC2i)

NCNEXUS

Predictors and Mechanisms of Conversion to Psychosis

Rapidly Emerging Antiviral Drug Development Initiative-AViDD Center (READDI-AC)

A Scalable Platform for Exploring and Analyzing Whole Brain Tissue Cleared Images

North Carolina eCrash Data Modernization Project

NC TraCS

FHIRCat: Enabling the Semantics of FHIR and Terminologies for Clinical and Translational Research

HeLx: ReCCAP

NCGENES

Precision Medicine and PDS

RENCI catalyzes data-driven discoveries in Earth science. Our nationally-recognized subject matter experts lead and contribute to projects that advance fundamental science and inform decision making in areas such as natural disasters, water, oceans, climate, and weather.

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Brian Orin Blanton

Coastal Resilience Center

University of Oklahoma

Cornell University

U.S. Army Corps of Engineers

Argonne National Labs

University of Delaware

Stony Brook University

North Carolina State University

NC Division of Emergency Management

Chris Lenhardt

James Michael McManus

Lisa Ann Stillwell

RAPID: Collaborative Research: Building Digital Infrastructure and Communities to Assess Risk of Drinking Water Hazards Caused by Hurricanes

Storm Surge and Wind Wave Simulations for Travelers Insurance

Forecasting Coastal Impacts from Tropical Cyclones along the US East and Gulf Coasts using the ADCIRC Prediction System

Many Core Processors and Workflow Study for WCOSS II

Coastal Hazards and Risk Research: Applications of the ADCIRC Storm Surge and Wind-wave Model

A Multi-decadal Coastal Water Level Model Reanalysis for Coastal Inundation and Flood Risk Assessment (Reanalysis)

UNC Policy Collaboratory: North Carolina Per and Polyfluoroalkyl Substances Testing (PFAST) Network DataHub

Galapagos Science Center

Coastal Probabilistic Hazard Analysis (FEMA-BOA)

Adcirc Viz: A Visualization Application for Distributed ADCIRC-based Coastal Storm Surge, Inundation, and Wave Modeling

Coastal Hazards, Equity, Economic prosperity and Resilience (CHEER) Hub

HydroShare

Coastal Hazard and Risk Modeling - Evacuation Modeling

Coupling the National Water Model to the Coastal Ocean for Predicting Water Hazards

Coastal Hazard and Risk Modeling - AdcircLite-NC

A Climate-Forward Coastal Water Level Model Analysis for Coastal Inundation and Flood Risk Planning (MAPP)

Every sector of society is undergoing a historic transformation driven by big data. RENCI is committed to transforming data into discoveries by partnering with leading universities, government, and the private sector to create tools and technologies that facilitate data access, sharing, analysis, management, and archiving.

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Chris Bizon

Analytics & Data Science

Jim Balhoff

Chuck Bennett

David Borland

Vladimir Glazunov

Rob Hubal

Howard M Lander

Gaurav Girish Vaidya

Hong Yi

Preservice Educators Reimagining Core Experiences in Physics Teaching (PERCEPT)

Cell Cycle Browser (CCB) and TRACE (TRacking and Analysis of CEll Cycle)

Bias Tracking and Reduction Methods for High-Dimensional Exploratory Visual Analysis and Selection

ROBOKOP U24

Further Development of AI Tool for Extraction of Roadside Hazards from Videolog Data and LIDAR

Center for Cancer Data Harmonization (CCDH)

Drug Repurposing for Cancer Therapy: From Man to Molecules to Man

Obesity Hub

HuBMAP HIVE Collaboration Component (CC)

Critical-Zone Collaborative Network (CZCN Hub)

Imageomics Institute

Family Planning National Training Center

My Health Peace of Mind

Data Translator ARAGORN

Conference on Data Science and Law

Enabling machine-actionable semantics for comparative analyses of trait evolution (SCATE)

Shoring up the Entrepreneurial Ecosystem through Real-Time Data Analysis

Chemotext2

DataBridge

Data Bridge for Neuroscience: A novel way of discovery for Neuroscience Data

An Intelligent Concept Agent for Assisting with the Application of Metadata (INCA)

Data Translator: ICEES+ Knowledge Provider

NeuroBridge: Connecting Big Data for Reproducible Clinical Neuroscience

Immune Cellular Functions Inference (ImmCellFie)

Phyloreferencing: Creating Computable Clade Definitions in the Web Ontology Language (OWL)

Clinical Trial Management Dashboard (CTMD)

Data Translator Standards and Reference Implementations

Semantic Infrastructure for Gene Ontology

Data Translator CAM/AOP Knowledge Provider

DataNet Federation Consortium

UNC Superfund Research Program - Data Management and Analysis Core (DMAC)

RENCI creates cyberinfrastructure solutions that enhance scientific research. With expertise in networking, architectures, distributed systems, and applications, our work enables secure and efficient collaboration and data management for cutting-edge computer science and data-intensive domain research.

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Ilya Baldin

David Bank

Mert Cevik

Laura Christopherson

Yaxue Guo

Anirban Mandal

Paul Michael Ruth

Sajith Thekkumgal Sasidharan

Erik Lamond Scott

Michael James Stealey

Komal Thareja

Cong Wang

Yufeng Xin

ExoGENI

CC*IIE Integration: RADII: Resource Aware DatacentrIc Collaboration Infrastructure

SWIP

CI CoE: CI Compass: An NSF Cyberinfrastructure (CI) Center of Excellence for Navigating the Major Facilities Data Lifecycle

Creating Dynamic Superfacilities the SAFE Way (CICI SAFE)

Chameleon Cloud

DyNamo

Distinct: A Distributed Multi-Loop Networked System for Wide-Area Control of Large Power Grids

Rapid Attack Detection, Isolation and Characterization Systems (RADICS)

FlyNet: An 'On-the-fly' Deeply Programmable End-to-end Network-Centric Platform for Edge-to-Core Workflows

Research Groups