Federal Interagency Traumatic Brain Injury Research (FITBIR)
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Matthew J. McAuliffe, Ph.D., Chief, Biomedical Imaging Research Services Section (BIRSS) CIT PowerPoint PPT Presentation


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Federal Interagency Traumatic Brain Injury Research (FITBIR) Informatics System. Matthew J. McAuliffe, Ph.D., Chief, Biomedical Imaging Research Services Section (BIRSS) CIT Ramona Hicks, Ph.D., Program Director, Repair and Plasticity NIH/NINDS

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Matthew J. McAuliffe, Ph.D., Chief, Biomedical Imaging Research Services Section (BIRSS) CIT

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Matthew j mcauliffe ph d chief biomedical imaging research services section birss cit

Federal Interagency Traumatic Brain Injury Research (FITBIR)

Informatics System

Matthew J. McAuliffe, Ph.D., Chief, Biomedical Imaging Research Services Section (BIRSS) CIT

Ramona Hicks,Ph.D., Program Director, Repair and Plasticity NIH/NINDS

Douglas Gibson, Ph.D., Deputy Neurotrauma Research Coordinator USAMRMC-CCCRP (RAD2)


Why do we bring all this data together

Why do we bring all this data together?

to replicate experiments

to visualize

to ask new questions

to analyze

to simulate

to model

to search

to share

to publish

to teach


Fitbir

FITBIR

The FITBIR framework is a collaborative biomedical informatics system to support research at NIH to accelerate scientific discovery and treatment.

The mission of BRICS is accomplished by the:

  • Definition of standards to enable cross site meta-analysis and data comparisons (e.g. NINDS CDEs)

  • Deployment of useful tools for community adoption

  • Promotion for the sharing of quality research data throughout the research community

  • Central Repository and Portal to phenotypic, genomic, imaging and pedigree data.


Brics components

BRICS Components

Study Management and Data Submission

  • Defining and managing study information and access

  • Contributing, uploading, and storing the research data

  • Define federated data stores

Clinical Trial / Research

  • Defining electronic case report forms

  • Scheduling and collecting clinical data

  • Exporting, analyzing and reporting on collected data.

Querying, Reporting and Exporting Data

  • Include locally collected research data

  • Include research data from defined, federated sites.

MIPAV Imaging Tool

  • Image submission tool

  • Image analysis tools

  • 3D Image visualization

Global Unique Identifier System

  • Allows researchers to share data specific to study participants

  • Correlate participants across studies without exposing personally identifiable information (PII)

Defining and Validating Data

  • Creating, managing, and searching data elements and form structures

  • Validating research data against the defined validation rules

User Account Management

  • Creating, approving, and managing user accounts

  • Managing access controls, roles & permissions

  • Single sign on


Fitbir arch

FITBIR Arch

Meta

Data

ProFoRM

(eCRF+)

Raw Data

RESTFUL API

GUID

Data Dictionary

NINDS CDEs,

Unique DE

Repository

Manager

Data Access

GUID Webstart

Client

Validation Webstart Tool

Upload Tool

Query Tool

Download Mgr

Generic

Forms Tool

(eCRF)

Query

Results

Export

Package

Data Submission

Data Access


Fitbir arch1

FITBIR Arch

Data Analytics

(Big Data)

Meta

Data

ProFoRM

(eCRF+)

Raw Data

RESTFUL API

GUID

Data Dictionary

NINDS CDEs,

Unique DE

Repository

Manager

Data Access

GUID Webstart

Client

Validation Webstart Tool

Upload Tool

Query Tool

Download Mgr

Generic

Forms Tool

(eCRF)

Query

Results

Export

Package

Data Submission

Data Access


Submission dataflow

Submission Dataflow

VALIDATE & SUBMIT

RESEARCHER USE

CAPTURE

COLLABORATION

QUALIFIED ACCESS

NEUROIMAGING

GENOMICS

ASSESSMENT DATA


Matthew j mcauliffe ph d chief biomedical imaging research services section birss cit

GUID

Researcher logs into GUID client on their university PC and enters in subject PII

GUID server returns a GUID identifier. If the one way hashes match a known subject, an existing GUID will be returned. If this is a new subject, a new GUID will be returned.

GUID client (on university computer) uses personnaly identifiable information to derive a series of one way hashes which securely encrypt PII information

Researchers are able to access data across studies, without revealing personally identifiable information, while correlating study data across different studies AND uniquely sorting between distinct and redundant datasets

Once data is in the database, a researcher may query this data. The GUID allows researchers to distinguish between unique subjects and recurrent subjects across all datasets.

Shared Data

Repository

One way hashes are sent off to the GUID server for reference and storage. No personally identifiable information is sent to the system

Shared

Once the researcher has a GUID, s/he may submit data associated with this subject. No data may be submitted to the system without a GUID.


Validation tool

Validation Tool


Matthew j mcauliffe ph d chief biomedical imaging research services section birss cit

ProFoRMS

Build Form Page


Image analysis tool http mipav cit nih gov

Image Analysis Tool http://mipav.cit.nih.gov


Future work

Future work

1. Define pipeline APIs for imaging, meta-data, genomics

  • Cloud

  • API to support multiple processing applications

    2. Further development of imaging CDEs to support the description of DTI and related images stored in the database


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