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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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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? to replicate experiments to visualize to ask new questions to analyze to simulate to model to search to share to publish to teach
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 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 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 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 VALIDATE & SUBMIT RESEARCHER USE CAPTURE COLLABORATION QUALIFIED ACCESS NEUROIMAGING GENOMICS ASSESSMENT DATA
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.
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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