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Accelerate Biomedical Discovery

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Presentation on theme: "Accelerate Biomedical Discovery"— Presentation transcript:

1 Accelerate Biomedical Discovery
Using BRICS & CDEs to Accelerate Biomedical Discovery Through Data Sharing Matthew J. McAuliffe, PhD Chief, Biomedical Imaging Research Services Section (BIRSS) CIT

2 To Accelerate Discovery
Why share data? To Model Data To Efficiently use Resources To Ask New Questions To Accelerate Discovery To Teach To Stimulate Discussion To Learn WE’RE BUILDING A NEW SYSTEM to address these research challenges To Visualize To Replicate Experiments

3 Defines and Validates Data
BRICS Modules Defines and Validates Data Creates, manages, and searches data elements and form structures Validates research data against the defined validation rules Global Unique Identifier System Allows researchers to share data specific to study participants Correlates participants across studies without exposing personally identifiable information (PII) Study Management and Data Submission Defines and manages study information and access Contributes, uploads, and stores the research data Defines federated data stores Clinical Trial / Research Defines electronic case report forms Schedules and collects clinical data Exports, analyzes and reports on collected data MIPAV Imaging Data Submission Image submission tool Image analysis tool 3D Image visualization Query, Report and Export Data Includes locally collected research data Includes research data from defined, federated sites Key elements of the system (illustrate and discuss benefits of each) Data Dictionary (CDEs) [solves X problem(s) - illustrate] Data Repository [solves y problem(s) – illustrate] GUID [solves z problem(s) – illustrate] Open Architecture: Application Programming Interface (API) PROFORMS QUERY Meta Study (Nov 2015) DOI reference Analyzed data Meta data defined by BD2K/BioCaddie Commons compliant

4 Submission Dataflow CAPTURE VALIDATE & SUBMIT RESEARCHER USE
COLLABORATION SHARED ACCESS NEUROIMAGING GENOMICS ASSESSMENT DATA

5 Data Dictionary NLM BMIC CDE WG PROMIS Neuro-QoL NIH toolbox PHENX
CDISC ONC/SDC REDCap What it is Informatics research system What it does: Provides software applications and services that solve research challenges and problems Add informatics workflow

6 What it is Informatics research system What it does: Provides software applications and services that solve research challenges and problems Add informatics workflow

7 What it is Informatics research system What it does: Provides software applications and services that solve research challenges and problems Add informatics workflow

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10 BRICS customized for specific projects
Federal Interagency Traumatic Brain Injury (FITBIR) Overall award winner - Federal Health IT (FHIT) Center for Neuroscience and Regenerative Medicine (CNRM) Parkinson’s Disease Biomarker Program (PDBP) Overall award winner – ACT-IAC GUID brick deployed in support of GRDR CiSTAR – NINDS intramural program What it is Informatics research system What it does: Provides software applications and services that solve research challenges and problems Add informatics workflow

11 PDBP Data Management Resource (DMR)
What is the PDBP DMR? The PDBP Data Management Resource (PDBP DMR) and NINDS Biorepository collaborate to support new and existing research promoting biomarker discovery for Parkinson's disease.

12 (funded by DOD and NINDS)
FITBIR (funded by DOD and NINDS) Number of Subjects Total = 4,603 subjects as of April 15, 2015

13 Number of Data Records by Category
FITBIR Number of Data Records by Category

14 Lessons Standard use of standardized forms/CDEs
NIH standard CDEs for demographics (Age, Height, Gender (not so easy), Weight, …) Mapping tool that maps CDEs in library A to CDEs in library B and CDEa’s PVs to CDEb’s PVs GenderVala.Male = Gndrb.M = gendCDISCc.1 Easy access to CDE libraries (PROMIS, CDISC) – NLM CDE tool is helping with the process


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